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docs: remove MCP implementation references from README
Remove mentions of "MCP server" and "MCP-backed" from user-facing documentation. Replace with generic "dynamic discovery" terminology. Changes: - "Dynamic MCP-backed discovery" → "Dynamic discovery" - "for MCP server and CrewAI" → "for dynamic discovery and CrewAI" - "Install with MCP server support" → "Install with dynamic discovery support" - Remove "uses the StackOne MCP server under the hood" explanation Users don't need to know about internal MCP implementation details. Related: ENG-11260
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README.md

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@@ -14,7 +14,7 @@ StackOne AI provides a unified interface for accessing various SaaS tools throug
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- Glob pattern filtering with patterns like `"hris_*"` and exclusions `"!hris_delete_*"`
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- Provider and action filtering with `fetch_tools()`
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- Multi-account support
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- Dynamic MCP-backed discovery via `fetch_tools()` so you can pull the latest tools at runtime (accounts, providers, or globbed actions)
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- Dynamic discovery via `fetch_tools()` so you can pull the latest tools at runtime (accounts, providers, or globbed actions)
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- **Meta Tools** (Beta): Dynamic tool discovery and execution based on natural language queries
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- Integration with popular AI frameworks:
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- OpenAI Functions
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## Requirements
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- Python 3.9+ (core SDK functionality)
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- Python 3.10+ (for MCP server and CrewAI examples)
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- Python 3.10+ (for dynamic discovery and CrewAI examples)
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## Installation
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### Optional Features
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```bash
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# Install with MCP server support (requires Python 3.10+)
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# Install with dynamic discovery support (requires Python 3.10+)
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uv add 'stackone-ai[mcp]'
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# or
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pip install 'stackone-ai[mcp]'
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The `fetch_tools()` method provides advanced filtering by providers, actions, and account IDs:
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> `fetch_tools()` uses the StackOne MCP server under the hood. Install the optional extra (`pip install 'stackone-ai[mcp]'`) on Python 3.10+ to enable dynamic discovery.
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> Install the optional extra (`pip install 'stackone-ai[mcp]'`) on Python 3.10+ to enable dynamic discovery.
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```python
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from stackone_ai import StackOneToolSet

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