Files
FabledScribe/fable-mcp/fable_mcp/tools/search.py
T
bvandeusen 359cb24d9a feat(fable-mcp): implement FableClient, all tool modules, and server.py
- client.py: async httpx wrapper, FableAPIError, stream_get() SSE generator,
  singleton init_client()/get_client() and _reset_client() for tests
- tools/: notes, tasks, projects, milestones, search, chat — thin async
  functions that accept FableClient and call Fable REST endpoints
- server.py: FastMCP entry point with 20 tools registered via @mcp.tool(),
  each opening a fresh FableClient context per call; validates env vars at startup
- tests: 34 tests covering client HTTP behaviour, error handling, singleton,
  SSE streaming, and all tool modules

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-23 21:51:32 -04:00

31 lines
842 B
Python

"""MCP tool for semantic search across Fable notes and tasks."""
from __future__ import annotations
from typing import Any
from fable_mcp.client import FableClient
async def search(
client: FableClient,
*,
q: str,
content_type: str = "all",
limit: int = 10,
) -> dict[str, Any]:
"""Semantic search over notes and/or tasks.
Args:
q: Search query string.
content_type: One of "note", "task", or "all" (default).
limit: Maximum number of results to return.
Returns:
Dict with "results" list and "total" count.
Each result has: id, title, body, is_task, tags, similarity.
"""
params: dict[str, Any] = {"q": q, "limit": limit}
if content_type != "all":
params["content_type"] = content_type
return await client.get("/api/search", params=params)