capa
★ 718
vs
fastapi_mcp
★ 12.0k
capa vs fastapi_mcp
capa: CAPA is a package manager designed for AI coding agents, allowing developers to declare skills, tools, and rules in a single `capabilities.yaml` file. It then automatically deploys these configurations to over 35 different AI agent platforms, ensuring consistent and optimized setups.; 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.
01
TL;DR
capaDev Tooling · ★ 718
Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
- 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.
When to skip:
- 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).
02
Side-by-Side Comparison
Field
capafastapi_mcpCategory
Dev Tooling
Dev Tooling
Stars
★ 718
★ 12.0k
License
MIT
MIT
Install Command
curl -LsSf https://capa.infragate.ai/install.sh | sh
uv add fastapi-mcp
Updated
1d ago
11mo ago
Open Source
Yes
Yes
Tags
AI Agent Management, Configuration Management, Development Tool
FastAPI, MCP, Python
03
Features
capa01Centralized `capabilities.yaml` for managing agent content across 35+ AI agents.
02Automated deployment of rules, hooks, and tools into the native formats required by various agents.
03Optimized inference leading to 19-40% cheaper costs, achieved through lazy-loading and per-agent MCP servers.
04Granular tool access for sub-agents with filtered MCP endpoints, ensuring they only see necessary tools.
05Version-controlled configurations via `capabilities.lock`, ensuring reproducible setups across development environments.
fastapi_mcp01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04
Use Cases
capa↳Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.
↳Initializing new projects with a predefined set of agent capabilities and configurations.
↳Bootstrapping existing projects to bring their current capabilities under CAPA's centralized management.
↳Directly executing defined tools, sub-agents, and subcommands via a unified `capa sh` CLI interface.
fastapi_mcp↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05
Best For
capaTrending
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between capa and fastapi_mcp?
Both capa and fastapi_mcp are in the Dev Tooling category. capa has 718 stars, while fastapi_mcp has 12.0k stars.
Which is better, capa or fastapi_mcp?
The best choice depends on your use case. Choose capa if Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms., and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is capa free or open source?
Yes, capa is open source on GitHub (MIT).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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