Fastapi Mcp Inspect — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Fastapi Mcp Inspect (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Mount an MCP server onto your FastAPI application to let AI agents inspect your routes, endpoints, and schemas at runtime.
uv add fastapi-mcp-inspect
# or using pip: pip install fastapi-mcp-inspectfrom 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.
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.
git clone https://github.com/inclinedadarsh/fastapi-mcp-inspect.git
cd fastapi-mcp-inspect
uv syncMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.