MCP (Model Context Protocol)

The server exposes a Model Context Protocol endpoint for AI assistants and LLM integrations.

POST /mcp or WebSocket /mcp

Inspect and search pipeline runs programmatically using MCP tools:

• get_run — fetch run status and metadata
• list_run_tasks — list tasks in a run with outputs
• search_tasks — full-text search task outputs
• search_pipelines — search stored pipelines by name/content

Client Setup

See MCP for VS Code extension setup and detailed usage.

Example (Direct HTTP)

curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "get_run",
      "arguments": { "run_id": "run-123" }
    }
  }'

See MCP for full tool reference and client implementations.