qveris-agent-toolkit vs fastapi_mcp
qveris-agent-toolkit: QVeris Agent Toolkit is the open-source client layer for the QVeris capability routing network, giving agents access to 10,000+ real-world capabilities across 15+ categories. It ships a CLI, MCP server, Python SDK, and REST API docs so agents can discover, inspect, invoke, and audit tools through a single protocol. Available for Cursor, Claude Code, OpenCode, and OpenClaw-style skill agents.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
TL;DR
Agents discovering and invoking real-world APIs without per-integration setup
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
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