mcp-server vs fastapi_mcp
mcp-server: DollhouseMCP is an open-source platform that customizes AI through modular elements (personas, skills, templates, agents, memories, ensembles). It uses the MCP-AQL protocol with CRUDE endpoints and a Gatekeeper permission system for secure and flexible AI behavior modification. Installation is via npm or an interactive setup wizard, and it works across multiple platforms and MCP-compatible clients.; 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
Activate a read-only analyst persona to safely browse and list elements
- 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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