Model Context Protocol (MCP) gives AI applications a structured way to work with data and tools. The most useful MCP integrations are not the ones with the most tools. They are the ones that make the right action easy, safe, and understandable.
Start with a focused tool contract
Each tool should represent one clear capability. A name, a small set of inputs, and a predictable response are easier for both people and models to work with.
from fastmcp import FastMCP
mcp = FastMCP("Portfolio Search")
@mcp.tool()
def search_projects(query: str, limit: int = 5) -> list[dict]:
"""Search enterprise projects by keyword or stack tag."""
return db.query(query, limit=limit)