Here represents a real-world log of an AI Agent using Code Trajectory MCP to instantly recover context from a previous session without user explanation.
Scenario: The user starts a fresh chat and asks to "track progress." The AI has zero prior knowledge of the project's current state.
The AI identifies the project path and establishes a connection with the MCP.
AI Thought: "I need to configure Code Trajectory and check the project status."
// Tool Call: configure_project
{ "path": "c:\\Users\\SynTaek\\...\\syntaek.log" }
// Output
"Already configured to track: .../syntaek.log"The AI calls get_session_summary to download the "Trajectory" of the previous work session.
// Tool Call: get_session_summary
// Output (Provided by MCP)
{
"Time": "2025-12-04 01:16:59 to 02:11:09",
"Files Modified": [
"crates/syntaek-core/src/lib.rs",
"src/components/Terminal.tsx",
"src/content/blog/2025-12-04-dev-log.mdx",
... (30+ files)
],
"Commit Count": 5
}The AI doesn't just see a list of files; it analyzes the trajectory data to reconstruct the Development Flow.
- Timeline Reconstruction: 01:16 (Blog) -> 01:39 (Command Palette) -> 01:46 (Terminal) -> 02:11 (WASM Integration).
- State Assessment: It recognizes that the last task was consolidated as "Phase 2 Complete" and verifies there are no pending changes ("Clean State").
The AI reports back with specific details the user never explicitly mentioned in the current chat.
AI Response: "Current status: Phase 2 (Command Palette, Terminal, Rust WASM) is complete. The project is in a stable state with no pending changes since the last consolidation."