diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 311b375..76ba957 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -26,8 +26,14 @@ jobs:
       - name: Set up Python
         run: uv python install
 
-      - name: Install project dependencies
+      - name: Install developers dependencies
+        working-directory: ./developers
+        run: uv sync --locked --all-extras --dev
+
+      - name: Install agents dependencies
+        working-directory: ./agents
         run: uv sync --locked --all-extras --dev
 
       - name: Run integration tests
+        working-directory: ./developers
         run: uv run pytest tests/integration/
diff --git a/agents/mcp_materialize_agents/__init__.py b/agents/mcp_materialize_agents/__init__.py
index b8bc1dc..b1bffed 100644
--- a/agents/mcp_materialize_agents/__init__.py
+++ b/agents/mcp_materialize_agents/__init__.py
@@ -95,9 +95,9 @@ async def configure(conn):
 class DataProduct(BaseModel):
     name: str = Field(
         description=(
-            'Fully qualified name of the data product with double quotes '
+            "Fully qualified name of the data product with double quotes "
             '(e.g. \'"database"."schema"."view_name"\'). '
-            'Use this exact name when querying - it\'s ready for SQL.'
+            "Use this exact name when querying - it's ready for SQL."
         )
     )
     cluster: str = Field(
@@ -119,9 +119,9 @@ class DataProduct(BaseModel):
 class FullDataProduct(BaseModel):
     name: str = Field(
         description=(
-            'Fully qualified name with double quotes '
+            "Fully qualified name with double quotes "
             '(e.g. \'"database"."schema"."view_name"\'). '
-            'Use this exact name in queries.'
+            "Use this exact name in queries."
         )
     )
     cluster: str = Field(
@@ -191,8 +191,7 @@ async def get_data_products() -> list[DataProduct]:
         async def get_data_product_details(
             name: str = Field(
                 description=(
-                    "Exact name of the data product from "
-                    "get_data_products() list"
+                    "Exact name of the data product from get_data_products() list"
                 )
             ),
         ) -> FullDataProduct:
diff --git a/agents/pyproject.toml b/agents/pyproject.toml
index 33b7fc9..d84081d 100644
--- a/agents/pyproject.toml
+++ b/agents/pyproject.toml
@@ -53,7 +53,8 @@ packages = ["mcp_materialize_agents"]
 dev = [
     "pytest-asyncio>=0.26.0",
     "pytest>=8.3.5",
-    "hatch>=1.9.4"
+    "hatch>=1.9.4",
+    "ruff>=0.14.0",
 ]
 
 [tool.ruff]
diff --git a/agents/uv.lock b/agents/uv.lock
index d61b342..944ced9 100644
--- a/agents/uv.lock
+++ b/agents/uv.lock
@@ -1,13 +1,14 @@
 version = 1
+revision = 3
 requires-python = ">=3.13"
 
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diff --git a/developers/README.md b/developers/README.md
index b3fc1cb..a92da47 100644
--- a/developers/README.md
+++ b/developers/README.md
@@ -6,63 +6,407 @@ The server exposes a comprehensive set of static tools for database operations i
 
 ## Installation
 
+### Quick Start Checklist
+
+✅ **Before you begin:**
+1. Install Python 3.13+ and `uv`
+2. Configure AWS credentials: `aws configure --profile your-profile-name`
+3. (Optional) Start Materialize: `docker run -p 6875:6875 materialize/materialized:latest`
+
+✅ **Installation steps:**
+1. Clone repo and install: `cd materialize-mcp-server/developers && uv sync`
+2. Configure your IDE:
+   - **Claude Code**: `claude mcp add -e AWS_PROFILE=your-profile ... materialize-local ...`
+   - **Cursor**: Create `.cursor/mcp.json` (see "Using with Cursor" section)
+3. Restart your IDE
+4. Verify: Ask your AI assistant "Check the Materialize connection status"
+
 ### Using with Claude Code
 
 Claude Code automatically starts and manages MCP servers for you. You don't need to run the server manually - just configure it and Claude Code will handle the rest.
 
+#### Prerequisites
+
+Before setting up the MCP server, ensure you have:
+
+1. **Python 3.13+** and **uv** installed
+2. **AWS credentials configured** (required for documentation search):
+   ```bash
+   # Check if you have AWS credentials
+   aws sts get-caller-identity
+
+   # If not, configure your AWS profile
+   aws configure --profile your-profile-name
+   ```
+
+   The server uses AWS S3 Vector Buckets for semantic documentation search. Without AWS credentials, the documentation search tool won't work (but all database tools will still function).
+
+3. **Materialize instance** (optional - server works without it):
+   - Local: `docker run -p 6875:6875 materialize/materialized:latest`
+   - Or Materialize Cloud: Get your connection string from the console
+
 #### Quick Setup
 
-1. Clone the repository:
+**Step 1: Install dependencies**
+
 ```bash
 git clone https://github.com/MaterializeInc/materialize-mcp-server
-cd materialize-mcp-server
+cd materialize-mcp-server/developers
+uv sync
 ```
 
-2. Add the server configuration using Claude Code's CLI:
+⚠️ **Important:** You must run `uv sync` before configuring Claude Code. This pre-installs all dependencies (including large ML packages for documentation search) to ensure fast startup times (~0.5 seconds instead of 2+ seconds).
+
+**Step 2: Configure Claude Code**
+
+Using Claude Code CLI (recommended for fastest startup ~0.5s):
+
 ```bash
-# For local Materialize instance
-claude mcp add materialize-local --command "uv" --args "run" "--project" "." "materialize-mcp-server"
+# For local Materialize with AWS credentials
+claude mcp add \
+  -e MCP_LOG_LEVEL=ERROR \
+  -e MCP_ENABLE_JSON_LOG=false \
+  -e AWS_PROFILE=your-aws-profile \
+  materialize-local \
+  "$(pwd)/.venv/bin/python" -m mcp_materialize_developers
 
 # For Materialize Cloud
-claude mcp add materialize-cloud --command "uv" --args "run" "--project" "." "materialize-mcp-server" --env MZ_DSN="your-materialize-cloud-dsn"
+claude mcp add \
+  -e MCP_LOG_LEVEL=ERROR \
+  -e MCP_ENABLE_JSON_LOG=false \
+  -e AWS_PROFILE=your-aws-profile \
+  -e MZ_DSN="postgresql://user@host.materialize.cloud:6875/materialize?sslmode=require" \
+  materialize-cloud \
+  "$(pwd)/.venv/bin/python" -m mcp_materialize_developers
 ```
 
+**Step 3: Restart Claude Code**
+
+After configuration, fully restart Claude Code to load the MCP server.
+
+**Step 4: Verify it works**
+
+Ask Claude: "Check the Materialize connection status" - it should use the `check_connection` tool and report the connection state.
+
 #### Manual Configuration
 
-Alternatively, create a `.mcp.json` file in your project root:
+Alternatively, create a `.mcp.json` file in your project root or edit `~/.claude.json`:
+
+**Option 1: Using venv directly (fastest - recommended)**
 
 ```json
 {
   "mcpServers": {
     "materialize-local": {
-      "command": "uv",
-      "args": ["run", "--project", "/path/to/materialize-mcp-server", "materialize-mcp-server"],
+      "command": "/Users/yourname/path/to/materialize-mcp-server/developers/.venv/bin/python",
+      "args": ["-m", "mcp_materialize_developers"],
       "env": {
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
         "MZ_DSN": "postgresql://materialize@localhost:6875/materialize"
       }
-    },
-    "materialize-cloud": {
+    }
+  }
+}
+```
+
+**Option 2: Using `uv run` (slightly slower but simpler paths)**
+
+```json
+{
+  "mcpServers": {
+    "materialize-local": {
       "command": "uv",
-      "args": ["run", "--project", "/path/to/materialize-mcp-server", "materialize-mcp-server"],
+      "args": ["run", "--project", "/Users/yourname/path/to/materialize-mcp-server/developers", "mcp_materialize_developers"],
       "env": {
-        "MZ_DSN": "postgresql://user@host.materialize.cloud:6875/materialize?sslmode=require"
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
+        "MZ_DSN": "postgresql://materialize@localhost:6875/materialize"
       }
     }
   }
 }
 ```
 
-#### Configuration Options
+**Required environment variables:**
+- `MCP_LOG_LEVEL=ERROR` - Reduces log noise for Claude Code
+- `MCP_ENABLE_JSON_LOG=false` - Prevents JSON logs from interfering with MCP protocol
+- `AWS_PROFILE=your-aws-profile` - AWS credentials for documentation search (use your actual profile name)
+
+**Optional environment variables:**
+- `MZ_DSN` - Materialize connection string (defaults to local instance if not specified)
+- `MCP_MODE` - Server mode: `READ_WRITE` (default), `READ_ONLY`, or `DOCS_ONLY`
 
-You can pass any of these environment variables in the `env` section:
+#### All Configuration Options
 
-- `MZ_DSN`: Full Materialize connection string (overrides individual connection parameters)
+**Required for Claude Code:**
+- `MCP_LOG_LEVEL=ERROR` - Reduces log noise (prevents interference with MCP protocol)
+- `MCP_ENABLE_JSON_LOG=false` - Disables JSON logging format
+- `AWS_PROFILE` - Your AWS profile name for documentation search (e.g., `default`, `mz-scratch-admin`)
+
+**Materialize Connection (optional - server works without it):**
+- `MZ_DSN`: Full connection string (e.g., `postgresql://materialize@localhost:6875/materialize`)
 - `PGHOST`: Materialize host (default: localhost)
 - `PGPORT`: Materialize port (default: 6875)
 - `PGUSER`: Database user (default: materialize)
 - `PGPASSWORD`: Database password (if required)
 - `PGDATABASE`: Database name (default: materialize)
-- `MCP_LOG_LEVEL`: Logging level (DEBUG, INFO, WARNING, ERROR)
+
+**Documentation Search (requires AWS credentials):**
+- `AWS_PROFILE`: AWS profile name (required for documentation search)
+- `AWS_REGION`: AWS region for S3 (default: us-east-1)
+- `S3_BUCKET_NAME`: S3 bucket for document vectors (default: materialize-docs-vectors)
+
+**Advanced Options:**
+- `MCP_MODE`: Server mode - `READ_WRITE`, `READ_ONLY`, or `DOCS_ONLY` (default: READ_WRITE)
+  - `READ_WRITE`: Full database access + documentation search
+  - `READ_ONLY`: Read-only database access + documentation search
+  - `DOCS_ONLY`: Documentation search only (no database connection needed)
+- `MCP_TRANSPORT`: Communication transport - always use `stdio` for Claude Code (default: stdio)
+- `MCP_POOL_MIN_SIZE`: Minimum database connection pool size (default: 1)
+- `MCP_POOL_MAX_SIZE`: Maximum database connection pool size (default: 10)
+
+#### How Documentation Search Works
+
+The MCP server provides semantic search over Materialize documentation using:
+
+1. **ML-powered embeddings** - Uses `sentence-transformers` to create vector embeddings of documentation
+2. **AWS S3 Vector Buckets** - Stores embeddings in S3 for fast semantic search
+3. **Automatic indexing** - On first search, automatically scrapes and indexes https://materialize.com/docs/
+
+**First-time setup (automatic):**
+- When you first use documentation search, the server will:
+  - Load the ML model (~2-3 seconds one-time cost)
+  - Create the S3 bucket `materialize-docs-vectors` if it doesn't exist
+  - Scrape and index Materialize documentation
+  - Store embeddings in S3 for future use
+
+**Subsequent searches:**
+- Fast semantic search over indexed documentation
+- Returns relevant docs with URLs and excerpts
+- Works even if Materialize database is unavailable
+
+**Usage example:**
+```
+You: "How do I create a materialized view?"
+Claude: [Uses search_documentation tool]
+[Returns relevant documentation with URLs]
+```
+
+### Using with Cursor
+
+Cursor IDE supports MCP servers through configuration files. Like Claude Code, Cursor automatically starts and manages MCP servers - you just configure them and Cursor handles the rest.
+
+#### Prerequisites
+
+Same as Claude Code above:
+
+1. **Python 3.13+** and **uv** installed
+2. **AWS credentials configured** (required for documentation search)
+3. **Materialize instance** (optional - server works without it)
+
+#### Quick Setup
+
+**Step 1: Install dependencies**
+
+```bash
+git clone https://github.com/MaterializeInc/materialize-mcp-server
+cd materialize-mcp-server/developers
+uv sync
+```
+
+⚠️ **Important:** You must run `uv sync` before configuring Cursor. This pre-installs all dependencies to ensure fast startup times (~0.5 seconds).
+
+**Step 2: Configure Cursor**
+
+Cursor supports two configuration options:
+
+**Option A: Project-specific (recommended)**
+
+Create `.cursor/mcp.json` in your project root:
+
+```bash
+mkdir -p .cursor
+```
+
+Then create `.cursor/mcp.json` with this content:
+
+```json
+{
+  "mcpServers": {
+    "materialize-local": {
+      "command": "/absolute/path/to/materialize-mcp-server/developers/.venv/bin/python",
+      "args": ["-m", "mcp_materialize_developers"],
+      "env": {
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
+        "MZ_DSN": "postgresql://materialize@localhost:6875/materialize"
+      }
+    }
+  }
+}
+```
+
+**Option B: Global configuration**
+
+Create `~/.cursor/mcp.json` in your home directory for tools available across all projects (same format as above).
+
+**Step 3: Restart Cursor**
+
+After creating the configuration file, fully restart Cursor to load the MCP server.
+
+**Step 4: Verify it works**
+
+1. Open Cursor's AI chat (Cmd+L or Ctrl+L)
+2. Ask: "Check the Materialize connection status"
+3. Cursor should use the `check_connection` tool and report the connection state
+4. You can also ask: "What MCP tools are available?" to see all the Materialize tools
+
+#### Configuration Details
+
+**Using venv directly (fastest - recommended)**
+
+```json
+{
+  "mcpServers": {
+    "materialize-local": {
+      "command": "/Users/yourname/path/to/materialize-mcp-server/developers/.venv/bin/python",
+      "args": ["-m", "mcp_materialize_developers"],
+      "env": {
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
+        "MZ_DSN": "postgresql://materialize@localhost:6875/materialize"
+      }
+    }
+  }
+}
+```
+
+**Using `uv run` (slightly slower but simpler paths)**
+
+```json
+{
+  "mcpServers": {
+    "materialize-local": {
+      "command": "uv",
+      "args": ["run", "--project", "/Users/yourname/path/to/materialize-mcp-server/developers", "mcp_materialize_developers"],
+      "env": {
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
+        "MZ_DSN": "postgresql://materialize@localhost:6875/materialize"
+      }
+    }
+  }
+}
+```
+
+**For Materialize Cloud:**
+
+```json
+{
+  "mcpServers": {
+    "materialize-cloud": {
+      "command": "/Users/yourname/path/to/materialize-mcp-server/developers/.venv/bin/python",
+      "args": ["-m", "mcp_materialize_developers"],
+      "env": {
+        "MCP_LOG_LEVEL": "ERROR",
+        "MCP_ENABLE_JSON_LOG": "false",
+        "AWS_PROFILE": "your-aws-profile",
+        "MZ_DSN": "postgresql://user@host.materialize.cloud:6875/materialize?sslmode=require"
+      }
+    }
+  }
+}
+```
+
+**Required environment variables:**
+- `MCP_LOG_LEVEL=ERROR` - Reduces log noise for Cursor
+- `MCP_ENABLE_JSON_LOG=false` - Prevents JSON logs from interfering with MCP protocol
+- `AWS_PROFILE=your-aws-profile` - AWS credentials for documentation search
+
+**Optional environment variables:**
+- `MZ_DSN` - Materialize connection string (defaults to local instance if not specified)
+- `MCP_MODE` - Server mode: `READ_WRITE` (default), `READ_ONLY`, or `DOCS_ONLY`
+
+See "All Configuration Options" section above for the complete list of configuration options.
+
+#### Using MCP Tools in Cursor
+
+Once configured, you can interact with Materialize through Cursor's AI chat:
+
+**Example interactions:**
+
+```
+You: "List all clusters in my Materialize instance"
+Cursor: [Uses list_clusters tool and displays results]
+
+You: "Create a new cluster called analytics with size 100cc"
+Cursor: [Uses create_cluster tool]
+
+You: "Show me all materialized views in the public schema"
+Cursor: [Uses list_materialized_views tool]
+
+You: "Check if any views are lagging by more than 5 seconds"
+Cursor: [Uses monitor_data_freshness tool]
+
+You: "How do I create a source from PostgreSQL?"
+Cursor: [Uses search_documentation tool to find relevant docs]
+```
+
+**Tool approval:**
+- Cursor may ask you to approve tool usage the first time
+- You can choose to always allow specific tools or approve each use
+
+#### Troubleshooting for Cursor
+
+**MCP Server Fails to Start in Cursor:**
+
+1. **Check the configuration file path**:
+   - Project: `.cursor/mcp.json` in your project root
+   - Global: `~/.cursor/mcp.json` in your home directory
+   - Verify the file is valid JSON (no trailing commas!)
+
+2. **Verify the Python path**:
+   ```bash
+   # Test the path works
+   /absolute/path/to/.venv/bin/python -m mcp_materialize_developers --help
+   ```
+
+3. **Check Cursor's MCP logs**:
+   - Open Cursor's output panel
+   - Look for "MCP" in the output channels
+   - Check for error messages about server startup
+
+4. **Test startup manually**:
+   ```bash
+   cd materialize-mcp-server/developers
+   echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}' | \
+     MCP_LOG_LEVEL=ERROR MCP_ENABLE_JSON_LOG=false \
+     .venv/bin/python -m mcp_materialize_developers 2>&1 | head -1
+   ```
+   You should see a JSON response with `"serverInfo"`.
+
+**Tools not appearing in Cursor:**
+
+1. **Restart Cursor completely** - Don't just reload, fully quit and reopen
+2. **Check configuration syntax** - Ensure JSON is valid (use a JSON validator)
+3. **Verify AWS credentials** - If only documentation search fails:
+   ```bash
+   aws sts get-caller-identity --profile your-profile-name
+   ```
+
+**Materialize Connection Issues:**
+
+See the "Materialize Connection Issues" section in the Troubleshooting section above - the same steps apply for Cursor.
+
+**Documentation Search Issues:**
+
+See the "Documentation Search Issues" section in the Troubleshooting section above - the same steps apply for Cursor.
 
 ### Manual Installation (for development)
 
@@ -79,6 +423,10 @@ uv run materialize-mcp-server
 
 The server provides the following tools:
 
+### Connection & Health
+- **check_connection**: Check the connection status to Materialize database. Returns connection state, health status, and error information if the connection failed. This tool works even if Materialize is unavailable and helps diagnose connection issues.
+- **search_documentation**: Search Materialize documentation using semantic search. This tool works without a Materialize connection and can help answer questions about Materialize features and syntax.
+
 ### Database Object Management
 - **list_objects**: List all queryable objects in the Materialize database including sources, tables, views, materialized views, and indexed views
 - **list_schemas**: List schemas in Materialize, optionally filtered by database name
@@ -249,9 +597,85 @@ uv run materialize-mcp
 }
 ```
 
-## Using with Claude Code
+## Using with Claude Code and Cursor
+
+Once configured, your IDE (Claude Code or Cursor) will automatically start the Materialize MCP server when you open your project. The tools will be available for the AI assistant to use when helping you with Materialize-related tasks.
+
+### Troubleshooting
+
+**MCP Server Fails to Start:**
+1. **Run `uv sync` first** - This is the most common issue. The server needs dependencies pre-installed.
+   ```bash
+   cd materialize-mcp-server/developers
+   uv sync
+   ```
+
+2. **Check startup time** - The server should start in ~0.5 seconds. If it takes longer:
+   ```bash
+   # Test startup manually
+   cd materialize-mcp-server/developers
+   echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}' | \
+     MCP_LOG_LEVEL=ERROR MCP_ENABLE_JSON_LOG=false \
+     .venv/bin/python -m mcp_materialize_developers 2>&1 | head -1
+   ```
+   You should see a JSON response with `"serverInfo"`.
+
+3. **Verify environment variables** - Make sure `MCP_LOG_LEVEL=ERROR` and `MCP_ENABLE_JSON_LOG=false` are set in your configuration to prevent log messages from interfering with the MCP protocol.
+
+**Materialize Connection Issues:**
+
+The MCP server can run even if Materialize is not available. The `check_connection` and `search_documentation` tools will always work, while database tools will fail with clear error messages if Materialize is not reachable.
+
+1. **Use the `check_connection` tool** - In Claude Code, ask Claude to check the connection:
+   ```
+   You: "Check the Materialize connection status"
+   Claude will use the check_connection tool and report the connection state
+   ```
+
+2. **Check Materialize is running** - If using a local instance:
+   ```bash
+   psql "postgresql://materialize@localhost:6875/materialize" -c "SELECT 1;"
+   ```
+
+3. **Verify connection string** - Check that `MZ_DSN` in your config points to the correct Materialize instance.
+
+4. **Check logs** - If connection fails, the server will log a warning on startup but continue running. Documentation search and connection checking tools will still work.
+
+**Documentation Search Issues:**
+
+Documentation search requires valid AWS credentials. If searches aren't working:
+
+1. **Verify AWS credentials**:
+   ```bash
+   # Check if your profile is configured
+   aws sts get-caller-identity --profile your-profile-name
+
+   # Should return your AWS account info
+   ```
+
+2. **Check AWS_PROFILE is set** - Make sure `AWS_PROFILE` is set in your MCP server configuration (in `~/.claude.json`)
+
+3. **Verify S3 access**:
+   ```bash
+   # Check if you can access S3
+   aws s3 ls --profile your-profile-name
+   ```
+
+4. **Check S3 bucket permissions** - Your AWS credentials need:
+   - `s3:CreateBucket` (for first-time setup)
+   - `s3:PutObject`, `s3:GetObject`, `s3:ListBucket` (for document storage/retrieval)
+
+5. **First search takes longer** - The first documentation search will take 2-3 seconds to:
+   - Load the ML model (sentence-transformers)
+   - Create the S3 bucket if it doesn't exist
+   - Index documentation if not already indexed
+
+   Subsequent searches are fast (~100-500ms).
 
-Once configured, Claude Code will automatically start the Materialize MCP server when you open your project. The tools will be available for Claude to use when helping you with Materialize-related tasks.
+**Slow Performance:**
+- Server startup should be ~0.5s (or ~0.8s with `uv run`)
+- If slower, make sure you ran `uv sync` to pre-install dependencies
+- Use the venv path directly instead of `uv run` for fastest startup
 
 ### Example Interactions
 
diff --git a/developers/mcp_materialize_developers/__main__.py b/developers/mcp_materialize_developers/__main__.py
new file mode 100644
index 0000000..d7cbfbd
--- /dev/null
+++ b/developers/mcp_materialize_developers/__main__.py
@@ -0,0 +1,6 @@
+"""Entry point for running mcp_materialize_developers as a module."""
+
+from . import main
+
+if __name__ == "__main__":
+    main()
diff --git a/developers/mcp_materialize_developers/logging_config.py b/developers/mcp_materialize_developers/logging_config.py
index 35f5b16..c204028 100644
--- a/developers/mcp_materialize_developers/logging_config.py
+++ b/developers/mcp_materialize_developers/logging_config.py
@@ -285,7 +285,7 @@ def log_tool_result(
 
     if success:
         logger.info(
-            f"Tool call completed: {tool_name} ({duration*1000:.2f}ms)",
+            f"Tool call completed: {tool_name} ({duration * 1000:.2f}ms)",
             extra=extra_data,
         )
     else:
@@ -294,7 +294,7 @@ def log_tool_result(
             extra_data["error_message"] = str(error)
 
         logger.error(
-            f"Tool call failed: {tool_name} ({duration*1000:.2f}ms)",
+            f"Tool call failed: {tool_name} ({duration * 1000:.2f}ms)",
             extra=extra_data,
             exc_info=error,
         )
diff --git a/developers/mcp_materialize_developers/mcp_server.py b/developers/mcp_materialize_developers/mcp_server.py
index 60911c4..7c11e78 100644
--- a/developers/mcp_materialize_developers/mcp_server.py
+++ b/developers/mcp_materialize_developers/mcp_server.py
@@ -1,8 +1,12 @@
 from mcp.server import FastMCP
 from psycopg_pool import AsyncConnectionPool
+import asyncio
+import logging
+from enum import Enum
 
 from .config import Config
 from .system_prompt import INSTRUCTIONS
+from .tools.check_connection import CheckConnection
 from .tools.execute_ddl import ExecuteDDL
 from .tools.monitor_data_freshness import MonitorDataFreshness
 from .tools.object_freshness_diagnostics import (
@@ -11,6 +15,93 @@
 from .tools.run_sql_transaction import RunSqlTransaction
 from .tools.search_documentation import SearchDocumentation
 
+logger = logging.getLogger(__name__)
+
+
+class ConnectionState(Enum):
+    """Connection state for Materialize database."""
+
+    UNKNOWN = "unknown"
+    CONNECTED = "connected"
+    FAILED = "failed"
+
+
+class LazyAsyncConnectionPool:
+    """Wrapper that lazily initializes AsyncConnectionPool on first use."""
+
+    def __init__(self, dsn: str, min_size: int, max_size: int):
+        self._dsn = dsn
+        self._min_size = min_size
+        self._max_size = max_size
+        self._pool = None
+        self._lock = asyncio.Lock()
+        self._state = ConnectionState.UNKNOWN
+        self._last_error = None
+
+    @property
+    def state(self) -> ConnectionState:
+        """Get the current connection state."""
+        return self._state
+
+    @property
+    def last_error(self) -> str | None:
+        """Get the last connection error message."""
+        return self._last_error
+
+    async def _ensure_initialized(self):
+        """Initialize the pool if not already initialized."""
+        if self._pool is None:
+            async with self._lock:
+                if self._pool is None:  # Double-check after acquiring lock
+                    try:
+
+                        async def configure(conn):
+                            await conn.set_autocommit(True)
+
+                        self._pool = AsyncConnectionPool(
+                            conninfo=self._dsn,
+                            min_size=self._min_size,
+                            max_size=self._max_size,
+                            kwargs={"application_name": "materialize_mcp_dev_server"},
+                            configure=configure,
+                        )
+                        await self._pool.__aenter__()
+                        self._state = ConnectionState.CONNECTED
+                        self._last_error = None
+                        logger.info("Successfully connected to Materialize")
+                    except Exception as e:
+                        self._state = ConnectionState.FAILED
+                        self._last_error = str(e)
+                        logger.warning(f"Failed to connect to Materialize: {e}")
+                        raise
+
+    async def check_health(self) -> tuple[bool, str]:
+        """
+        Check if the connection to Materialize is healthy.
+
+        Returns:
+            Tuple of (is_healthy, message)
+        """
+        try:
+            await self._ensure_initialized()
+            async with await self._pool.connection() as conn:
+                async with conn.cursor() as cur:
+                    await cur.execute("SELECT 1")
+                    await cur.fetchone()
+            return True, "Connected to Materialize"
+        except Exception as e:
+            return False, f"Failed to connect to Materialize: {str(e)}"
+
+    async def connection(self):
+        """Get a connection from the pool."""
+        await self._ensure_initialized()
+        return await self._pool.connection()
+
+    async def close(self):
+        """Close the pool if it was initialized."""
+        if self._pool is not None:
+            await self._pool.__aexit__(None, None, None)
+
 
 class MaterializeDevMcpServer:
     def __init__(self, cfg: Config):
@@ -24,17 +115,15 @@ async def __aenter__(self) -> "MaterializeDevMcpServer":
             instructions=INSTRUCTIONS,
         )
 
-        async def configure(conn):
-            await conn.set_autocommit(True)
-
-        self._pool = AsyncConnectionPool(
-            conninfo=self._cfg.dsn,
-            min_size=self._cfg.pool_min_size,
-            max_size=self._cfg.pool_max_size,
-            kwargs={"application_name": "materialize_mcp_dev_server"},
-            configure=configure,
-        )
-        await self._pool.__aenter__()
+        # Create lazy pool for non-DOCS_ONLY modes
+        if self._cfg.mode != "DOCS_ONLY":
+            self._pool = LazyAsyncConnectionPool(
+                self._cfg.dsn,
+                self._cfg.pool_min_size,
+                self._cfg.pool_max_size,
+            )
+        else:
+            self._pool = None
 
         if self._cfg.mode == "READ_WRITE":
             self._server.add_tool(ExecuteDDL(self._pool))
@@ -44,11 +133,35 @@ async def configure(conn):
             self._server.add_tool(MonitorDataFreshness(self._pool))
             self._server.add_tool(ObjectFreshnessDiagnostics(self._pool))
 
+        # Always add connection check and documentation search tools
+        self._server.add_tool(CheckConnection(self._pool))
         self._server.add_tool(SearchDocumentation())
+
+        # Do a non-blocking health check in the background
+        if self._pool is not None:
+            asyncio.create_task(self._background_health_check())
+
         return self
 
+    async def _background_health_check(self):
+        """Perform a background health check and log the result."""
+        try:
+            is_healthy, message = await self._pool.check_health()
+            if not is_healthy:
+                logger.warning(
+                    f"Materialize connection check failed: {message}. "
+                    "Database tools will not be available until connection is restored. "
+                    "Documentation search tools will continue to work."
+                )
+        except Exception as e:
+            logger.warning(
+                f"Background health check failed: {e}. "
+                "This is not critical - tools will attempt to connect when called."
+            )
+
     async def __aexit__(self, exc_type, exc_val, exc_tb):
-        await self._pool.__aexit__(exc_type, exc_val, exc_tb)
+        if self._pool is not None:
+            await self._pool.close()
 
     async def run(self):
         match self._cfg.transport:
diff --git a/developers/mcp_materialize_developers/mz_client.py b/developers/mcp_materialize_developers/mz_client.py
index cf5533e..9f0cdeb 100644
--- a/developers/mcp_materialize_developers/mz_client.py
+++ b/developers/mcp_materialize_developers/mz_client.py
@@ -1,6 +1,6 @@
 import base64
 import decimal
-from typing import List, Dict, Any
+from typing import Any
 from uuid import UUID
 
 from psycopg import sql
@@ -9,7 +9,6 @@
 
 from .validation import validate_and_sanitize_args
 
-
 OBJECTS_QUERY = sql.SQL(
     """
     SELECT 
@@ -45,14 +44,14 @@ class MzClient:
     def __init__(self, pool: AsyncConnectionPool) -> None:
         self.pool = pool
 
-    async def list_objects(self) -> List[Dict[str, Any]]:
+    async def list_objects(self) -> list[dict[str, Any]]:
         """
         Return the catalog of all queryable objects.
 
         This includes sources, tables, views, materialized views, and indexes.
         """
         pool = self.pool
-        objects: List[Dict[str, Any]] = []
+        objects: list[dict[str, Any]] = []
         async with pool.connection() as conn:
             await conn.set_autocommit(True)
             async with conn.cursor(row_factory=dict_row) as cur:
@@ -61,12 +60,12 @@ async def list_objects(self) -> List[Dict[str, Any]]:
                     objects.append(row)
         return objects
 
-    async def list_clusters(self) -> List[Dict[str, Any]]:
+    async def list_clusters(self) -> list[dict[str, Any]]:
         """
         Return the list of clusters in Materialize.
         """
         pool = self.pool
-        clusters: List[Dict[str, Any]] = []
+        clusters: list[dict[str, Any]] = []
         async with pool.connection() as conn:
             await conn.set_autocommit(True)
             async with conn.cursor(row_factory=dict_row) as cur:
@@ -75,7 +74,7 @@ async def list_clusters(self) -> List[Dict[str, Any]]:
                     clusters.append(row)
         return clusters
 
-    async def create_cluster(self, cluster_name: str, size: str) -> Dict[str, Any]:
+    async def create_cluster(self, cluster_name: str, size: str) -> dict[str, Any]:
         """
         Create a new cluster in Materialize with the specified name and size.
 
@@ -87,7 +86,7 @@ async def create_cluster(self, cluster_name: str, size: str) -> Dict[str, Any]:
             Dictionary with the result of the cluster creation
         """
         # Validate and sanitize inputs
-        args = validate_and_sanitize_args(
+        validate_and_sanitize_args(
             "create_cluster", {"cluster_name": cluster_name, "size": size}
         )
 
@@ -111,8 +110,8 @@ async def create_cluster(self, cluster_name: str, size: str) -> Dict[str, Any]:
                 }
 
     async def run_sql_transaction(
-        self, cluster_name: str, sql_statements: List[str], isolation_level: str = None
-    ) -> Dict[str, Any]:
+        self, cluster_name: str, sql_statements: list[str], isolation_level: str = None
+    ) -> dict[str, Any]:
         """
         Execute one or more SQL statements within a single transaction.
 
@@ -125,7 +124,7 @@ async def run_sql_transaction(
             Dictionary with the results of the transaction execution
         """
         # Validate and sanitize inputs
-        args = validate_and_sanitize_args(
+        validate_and_sanitize_args(
             "run_sql_transaction",
             {
                 "cluster_name": cluster_name,
@@ -255,7 +254,7 @@ async def list_schemas(self, database: str = None) -> list[dict]:
                     schemas.append(row)
         return schemas
 
-    async def create_index(self, cluster_name: str, object_name: str) -> Dict[str, Any]:
+    async def create_index(self, cluster_name: str, object_name: str) -> dict[str, Any]:
         """
         Create a default index on a source, view, or materialized view.
 
@@ -286,7 +285,7 @@ async def create_index(self, cluster_name: str, object_name: str) -> Dict[str, A
 
     async def drop_index(
         self, index_name: str, cascade: bool = False
-    ) -> Dict[str, Any]:
+    ) -> dict[str, Any]:
         """
         Drop an index from Materialize.
 
@@ -320,7 +319,7 @@ async def drop_index(
                     "cascade": cascade,
                 }
 
-    async def create_view(self, view_name: str, sql_query: str) -> Dict[str, Any]:
+    async def create_view(self, view_name: str, sql_query: str) -> dict[str, Any]:
         """
         Create a view with the specified name and SQL query.
 
@@ -353,7 +352,7 @@ async def create_view(self, view_name: str, sql_query: str) -> Dict[str, Any]:
 
     async def create_materialized_view(
         self, view_name: str, cluster_name: str, sql_query: str
-    ) -> Dict[str, Any]:
+    ) -> dict[str, Any]:
         """
         Create a materialized view with the specified name, cluster, and SQL query.
 
@@ -424,7 +423,7 @@ async def create_postgres_connection(
         port: int = 5432,
         username: str = "materialize",
         ssl_mode: str = "require",
-    ) -> Dict[str, Any]:
+    ) -> dict[str, Any]:
         """
         Create a PostgreSQL connection in Materialize.
 
@@ -489,9 +488,9 @@ async def create_postgres_source(
         connection_name: str,
         publication_name: str,
         for_all_tables: bool = True,
-        for_schemas: List[str] = None,
-        for_tables: List[str] = None,
-    ) -> Dict[str, Any]:
+        for_schemas: list[str] = None,
+        for_tables: list[str] = None,
+    ) -> dict[str, Any]:
         """
         Create a PostgreSQL source in Materialize.
 
@@ -962,7 +961,7 @@ async def get_object_freshness_diagnostics(
 
 def json_serial(obj):
     """JSON serializer for objects not serializable by default json code"""
-    from datetime import datetime, date, time, timedelta
+    from datetime import date, datetime, time, timedelta
 
     if isinstance(obj, (datetime, date, time)):
         return obj.isoformat()
diff --git a/developers/mcp_materialize_developers/search/s3_vector_bucket_store.py b/developers/mcp_materialize_developers/search/s3_vector_bucket_store.py
index fae06d6..aca5010 100644
--- a/developers/mcp_materialize_developers/search/s3_vector_bucket_store.py
+++ b/developers/mcp_materialize_developers/search/s3_vector_bucket_store.py
@@ -4,12 +4,14 @@
 """
 
 import asyncio
-import logging
-from typing import List, Dict, Any, Optional
 import concurrent.futures
+import logging
+from typing import TYPE_CHECKING, Any
 
 import boto3
-from sentence_transformers import SentenceTransformer
+
+if TYPE_CHECKING:
+    from sentence_transformers import SentenceTransformer
 
 logger = logging.getLogger(__name__)
 
@@ -33,7 +35,7 @@ def __init__(
             index_name: Name of the vector index within the bucket
             embedding_model: Local embedding model name
         """
-        logger.info("Initializing S3 Vector Bucket store...")
+        logger.debug("Initializing S3 Vector Bucket store...")
 
         self.bucket_name = bucket_name
         self.region = region
@@ -41,28 +43,47 @@ def __init__(
         self.embedding_model = embedding_model
 
         # These will be set below
-        self.s3vectors_client: Optional[object] = None
-        self.local_model: Optional[SentenceTransformer] = None
-        self.vector_dimensions: Optional[int] = None
+        self.s3vectors_client: object | None = None
+        self.local_model: SentenceTransformer | None = None
+        self.vector_dimensions: int | None = None
 
         self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=4)
-        # Initialize S3 Vectors client
-        self.s3vectors_client = boto3.client("s3vectors", region_name=self.region)
-
-        self.local_model = SentenceTransformer(self.embedding_model)
-        test_embedding = self.local_model.encode("test")
-        self.vector_dimensions = len(test_embedding)
-        logger.info(
-            "Using local model '%s' with %d dimensions",
-            self.embedding_model,
-            self.vector_dimensions,
+
+        # Defer initialization until first use to avoid startup delays
+        self.s3vectors_client = None
+        self.local_model = None
+        self.vector_dimensions = None
+
+        logger.debug(
+            "S3 Vector Bucket store initialized (will initialize on first use)"
         )
 
-        self._ensure_bucket_and_index()
-        logger.info("S3 Vector Bucket store initialized")
+    def _ensure_initialized(self):
+        """Lazily initialize S3 client and embedding model on first use."""
+        if self.s3vectors_client is None:
+            logger.info("Initializing S3 Vectors client...")
+            self.s3vectors_client = boto3.client("s3vectors", region_name=self.region)
+            logger.info("S3 Vectors client initialized")
+
+        if self.local_model is None:
+            # Import sentence_transformers only when needed (slow import ~2s)
+            from sentence_transformers import SentenceTransformer
+
+            logger.info(f"Loading embedding model '{self.embedding_model}'...")
+            self.local_model = SentenceTransformer(self.embedding_model)
+            test_embedding = self.local_model.encode("test")
+            self.vector_dimensions = len(test_embedding)
+            logger.info(
+                "Loaded model '%s' with %d dimensions",
+                self.embedding_model,
+                self.vector_dimensions,
+            )
+            # Ensure bucket and index exist now that we know the dimensions
+            self._ensure_bucket_and_index()
 
-    async def _get_embedding(self, text: str) -> List[float]:
+    async def _get_embedding(self, text: str) -> list[float]:
         """Get embedding using local model."""
+        self._ensure_initialized()
 
         def encode_text():
             embedding = self.local_model.encode(text)
@@ -109,7 +130,7 @@ def _ensure_bucket_and_index(self):
             logger.error(f"Error ensuring bucket and index: {e}")
             raise
 
-    async def add_document(self, doc_data: Dict[str, Any]):
+    async def add_document(self, doc_data: dict[str, Any]):
         """Add a document and its embedding to the store."""
         # Generate embedding for the document content
         embedding = await self._get_embedding(doc_data["content"])
@@ -145,7 +166,7 @@ def put_vectors_sync():
         logger.debug(f"Added document to vector index: {doc_data['title']}")
 
     async def bulk_add_documents(
-        self, documents: List[Dict[str, Any]], batch_size: int = 100
+        self, documents: list[dict[str, Any]], batch_size: int = 100
     ):
         """Add multiple documents in batches for efficiency."""
         logger.info(f"Adding {len(documents)} documents to S3 Vector Bucket store...")
@@ -192,14 +213,14 @@ def put_vectors_batch_sync():
             )
 
             logger.info(
-                f"Uploaded batch {i//batch_size + 1}/{(len(documents) + batch_size - 1)//batch_size}"
+                f"Uploaded batch {i // batch_size + 1}/{(len(documents) + batch_size - 1) // batch_size}"
             )
 
         logger.info("Bulk document addition completed")
 
     async def search(
-        self, query: str, limit: int = 5, section_filter: Optional[str] = None
-    ) -> List[Dict[str, Any]]:
+        self, query: str, limit: int = 5, section_filter: str | None = None
+    ) -> list[dict[str, Any]]:
         """Search for similar documents using S3 Vectors native search."""
         # Generate query embedding
         query_embedding = await self._get_embedding(query)
@@ -274,7 +295,7 @@ def list_vectors_sync():
             logger.error(f"Error getting document count: {e}")
             return 0
 
-    async def get_bucket_info(self) -> Dict[str, Any]:
+    async def get_bucket_info(self) -> dict[str, Any]:
         """Get information about the S3 vector bucket and index."""
         try:
 
@@ -283,14 +304,14 @@ def get_bucket_info_sync():
                     bucket_response = self.s3vectors_client.get_vector_bucket(
                         vectorBucketName=self.bucket_name
                     )
-                except:
+                except Exception:
                     bucket_response = None
 
                 try:
                     index_response = self.s3vectors_client.get_index(
                         vectorBucketName=self.bucket_name, indexName=self.index_name
                     )
-                except:
+                except Exception:
                     index_response = None
 
                 return bucket_response, index_response
diff --git a/developers/mcp_materialize_developers/system_prompt.py b/developers/mcp_materialize_developers/system_prompt.py
index d491bdd..7c6d056 100644
--- a/developers/mcp_materialize_developers/system_prompt.py
+++ b/developers/mcp_materialize_developers/system_prompt.py
@@ -190,7 +190,7 @@
 
 ## Built-in reframing heuristics
 
-* **Asked for a single dynamic\_pricing view:**
+* **Asked for a single dynamic_pricing view:**
 
   * Create `inventory_items` as the **entity**; choose MV if cross-cluster, otherwise indexed view.
   * Provide `inventory_items_for_dynamic_pricing_api` as an **indexed** last-mile view.
diff --git a/developers/mcp_materialize_developers/tools/check_connection.py b/developers/mcp_materialize_developers/tools/check_connection.py
new file mode 100644
index 0000000..9b59729
--- /dev/null
+++ b/developers/mcp_materialize_developers/tools/check_connection.py
@@ -0,0 +1,39 @@
+from typing import Any, Dict
+
+
+class CheckConnection:
+    __name__ = "check_connection"
+
+    def __init__(self, pool):
+        self._pool = pool
+
+    async def __call__(self) -> Dict[str, Any]:
+        """
+        Check the connection status to Materialize database.
+
+        This tool verifies if the MCP server can connect to Materialize and returns
+        the connection state. This is useful for troubleshooting connection issues.
+
+        Returns:
+            Dictionary with connection status information including:
+            - connected: Boolean indicating if connection is successful
+            - state: Current connection state (unknown, connected, failed)
+            - message: Human-readable status message
+            - error: Error message if connection failed (null otherwise)
+        """
+        if self._pool is None:
+            return {
+                "connected": False,
+                "state": "not_configured",
+                "message": "Server is running in DOCS_ONLY mode - no database connection configured",
+                "error": None,
+            }
+
+        is_healthy, message = await self._pool.check_health()
+
+        return {
+            "connected": is_healthy,
+            "state": self._pool.state.value,
+            "message": message,
+            "error": self._pool.last_error if not is_healthy else None,
+        }
diff --git a/developers/pyproject.toml b/developers/pyproject.toml
index 62dcb13..da040c3 100644
--- a/developers/pyproject.toml
+++ b/developers/pyproject.toml
@@ -53,5 +53,9 @@ dev = [
     "pytest-asyncio>=0.26.0",
     "pytest>=8.3.5",
     "testcontainers>=4.10.0",
-    "hatch>=1.9.4"
+    "hatch>=1.9.4",
+    "ruff>=0.14.0",
 ]
+
+[tool.ruff]
+lint.select = ["I", "UP", "F", "E"]
diff --git a/developers/test_phase1.py b/developers/test_phase1.py
index 6faba71..efc845c 100644
--- a/developers/test_phase1.py
+++ b/developers/test_phase1.py
@@ -18,9 +18,9 @@ def test_config_validation():
         text=True,
     )
     assert result.returncode != 0, "Should fail with invalid port"
-    assert (
-        "must be between 1 and 65535" in result.stderr
-    ), f"Expected port validation error, got: {result.stderr}"
+    assert "must be between 1 and 65535" in result.stderr, (
+        f"Expected port validation error, got: {result.stderr}"
+    )
 
     # Test invalid DSN
     result = subprocess.run(
@@ -29,9 +29,9 @@ def test_config_validation():
         text=True,
     )
     assert result.returncode != 0, "Should fail with invalid DSN"
-    assert (
-        "DSN must include a scheme" in result.stderr
-    ), f"Expected DSN validation error, got: {result.stderr}"
+    assert "DSN must include a scheme" in result.stderr, (
+        f"Expected DSN validation error, got: {result.stderr}"
+    )
 
     print("✅ Configuration validation tests passed")
 
@@ -51,9 +51,9 @@ def test_help_output():
     help_text = result.stdout
     assert "--enable-json-logging" in help_text, "Should include JSON logging option"
     assert "--service-name" in help_text, "Should include service name option"
-    assert (
-        "Environment Variables:" in help_text
-    ), "Should include environment variables section"
+    assert "Environment Variables:" in help_text, (
+        "Should include environment variables section"
+    )
 
     print("✅ Enhanced help output test passed")
 
@@ -63,10 +63,11 @@ def test_validation_imports():
     print("Testing module imports...")
 
     try:
-        from materialize_mcp_server.validation import InputValidator, ValidationError
-        from materialize_mcp_server.logging_config import setup_structured_logging
-        from materialize_mcp_server.observability import MetricsCollector
-        from materialize_mcp_server.config import ConfigurationError
+        # Test that Phase 1 modules can be imported
+        __import__("materialize_mcp_server.validation")
+        __import__("materialize_mcp_server.logging_config")
+        __import__("materialize_mcp_server.observability")
+        __import__("materialize_mcp_server.config")
 
         print("✅ All Phase 1 modules import successfully")
     except ImportError as e:
@@ -102,8 +103,8 @@ def test_logging_config():
     print("Testing logging configuration...")
 
     from materialize_mcp_server.logging_config import (
-        setup_structured_logging,
         generate_correlation_id,
+        setup_structured_logging,
     )
 
     # Test logger setup
@@ -134,9 +135,9 @@ def test_observability():
 
     # Test metrics collector
     collector = get_metrics_collector()
-    assert isinstance(
-        collector, MetricsCollector
-    ), "Should return MetricsCollector instance"
+    assert isinstance(collector, MetricsCollector), (
+        "Should return MetricsCollector instance"
+    )
 
     # Test metrics recording (async would require more setup)
     summary = collector.get_metrics_summary()
diff --git a/developers/uv.lock b/developers/uv.lock
index e34339e..0556ddd 100644
--- a/developers/uv.lock
+++ b/developers/uv.lock
@@ -1,13 +1,14 @@
 version = 1
+revision = 3
 requires-python = ">=3.13"
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
 ]
 
 [[package]]
@@ -23,25 +24,25 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
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