LeanKG
★ 221
vs
fastapi_mcp
★ 12.0k
LeanKG vs fastapi_mcp
LeanKG: LeanKG is a local-first knowledge graph that provides accurate codebase context to AI coding tools. It indexes code, builds dependency graphs, and exposes an MCP server for direct querying. No cloud services or external databases are required.; 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
LeanKGDev Tooling · ★ 221
AI-assisted code impact analysis before changes
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
03
Features
LeanKG01Auto-init and setup for multiple AI tools
02Token-efficient queries (13-42 tokens vs 10,000+)
03Blast radius (impact analysis) and dependency graph
04MCP server integration with session hooks
05Multi-language support (Go, TypeScript, Python, Rust, Java, Kotlin, Android)
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
LeanKG↳AI-assisted code impact analysis before changes
↳Providing context to AI coding tools during development
↳Visualizing code dependencies and module relationships
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
LeanKG—
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between LeanKG and fastapi_mcp?
Both LeanKG and fastapi_mcp are in the Dev Tooling category. LeanKG has 221 stars, while fastapi_mcp has 12.0k stars.
Which is better, LeanKG or fastapi_mcp?
The best choice depends on your use case. Choose LeanKG if AI-assisted code impact analysis before changes, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is LeanKG free or open source?
Yes, LeanKG 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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