"""MCP server for semantic search."""
import logging
import os
from fastmcp import FastMCP
from .factory import create_indexer
logger = logging.getLogger(__name__)
# Configuration from environment - supports comma-separated paths
_raw_paths = os.environ.get("CONTENT_PATH", "./content")
CONTENT_PATHS = [p.strip() for p in _raw_paths.split(",") if p.strip()]
# MCP server instance
mcp = FastMCP("semantic-search-mcp")
@mcp.tool
def search_related(query: str, top_k: int = 5) -> list[dict[str, str | float]]:
"""Search for notes semantically related to the query text.
Args:
query: The text to search for
top_k: Number of results to return (default 5)
Returns:
List of matching notes with path and similarity score
"""
indexer = create_indexer(CONTENT_PATHS)
return indexer.search(query, top_k)
@mcp.tool
def check_duplicates(file_path: str) -> list[dict[str, str | float]] | dict[str, str]:
"""Find notes that are potential duplicates of the given file.
Args:
file_path: Path to the file (absolute or relative to content directory)
Returns:
List of similar notes with path and similarity score, or error dict
"""
indexer = create_indexer(CONTENT_PATHS)
return indexer.find_duplicates(file_path)
def run() -> None:
"""Run the MCP server."""
logger.info("[Server] Starting MCP server (fastmcp)")
mcp.run()
