fastapi-mcp-inspect 0.2.2

Simple tool which mounts your fastapi application and exposes an mcp endpoint for AI agents to inspect your fastapi server.

fastapi-mcp-inspect

Mount an MCP server onto your FastAPI application to let AI agents inspect your routes, endpoints, and schemas at runtime.

Installation

uv add fastapi-mcp-inspect
# or using pip: pip install fastapi-mcp-inspect

Quick Start

from fastapi import FastAPI
from fastapi_mcp_inspect import FastAPIInspect

app = FastAPI()
FastAPIInspect(app, mount_path="/mcp")

Any LLM with MCP support can now connect to your app's /mcp endpoint and inspect all registered routes.

MCP Tools

show_all_routes()

Lists every registered route with its HTTP methods, summary, description, and total count.

show_endpoint_details(method, endpoint)

Shows detailed information for a specific endpoint, including request/response schemas and any referenced Pydantic models.

search_routes(query, method=None, search_in_summary=False, tags=None)

Searches routes by path (case-insensitive) with optional filters:

• method — filter by HTTP method (e.g. GET, POST).
• search_in_summary — when True, also matches against summaries and descriptions.
• tags — filter by tag names (OR logic — any match).

list_all_tags()

Lists every unique tag used across API routes with route counts.

get_schema_definition(schema_name)

Returns the full field-level definition of a Pydantic schema used by any endpoint. Lookup is case-insensitive.

Development

git clone https://github.com/inclinedadarsh/fastapi-mcp-inspect.git
cd fastapi-mcp-inspect
uv sync

License

MIT