selvedge vs fastapi_mcp
selvedge: Selvedge provides long-term memory for AI-coded codebases, capturing the 'why' behind agent-made changes directly from the agent's context. It acts as a local MCP server, logging structured events to a SQLite database, allowing developers to query the reasoning for code modifications years later.; 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
Understanding the historical 'why' behind schema decisions and migrations in long-term AI-coded projects.
- 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).
Side-by-Side Comparison
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