"FastAPI" matching MCP servers:

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

Enables measuring how the same MCP tools implemented in FastMCP, the official MCP Python SDK, and fastapi-mcp differ in token overhead, schema fidelity, and call latency.

Give your AI coding assistant live visibility into the user's browser. Claude sees the actual DOM, console errors, and network timing instead of guessing from screenshots. Drop-in middleware for FastAPI + Flask.

Verifies environment variable reads, Python/Node imports, and FastAPI/Starlette route handlers against a repository's indexed contracts so coding agents can catch broken references before changes ship. Exposes tools such as check_change, check_claim, audit, suggest, index_status, and index locally, with no API key, runtime dependencies, or network calls on the default path.

A FastAPI + FastMCP dashboard for registering MCP mock server contracts and connecting to them via Streamable HTTP endpoints.

Enables AI coding agents to safely integrate cross-border payments by providing structured payment knowledge, deterministic validation of idempotency, security, and state-machine rules, webhook testing, executable pytest generation, and diagnosis for Python/FastAPI Checkout projects.