fastapi_mcp logo
fastapi_mcp
★ 12.0k
vs
chiasmus logo
chiasmus
★ 218

fastapi_mcp vs chiasmus

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.; chiasmus: Chiasmus is an MCP server that integrates formal verification (Z3, Prolog) and code analysis (tree-sitter) to solve complex logical and structural problems. It translates natural language into formal logic using templates and provides verified results. It also analyzes source code call graphs for dead code, impact, and reachability.

01

TL;DR

fastapi_mcp logo
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).
chiasmus logo
chiasmusDev Tooling · ★ 218

Detect conflicts in access control rules

02

Side-by-Side Comparison

Field
fastapi_mcp logofastapi_mcp
chiasmus logochiasmus
Category
Dev Tooling
Dev Tooling
Stars
★ 12.0k
★ 218
License
MIT
Apache-2.0
Install Command
uv add fastapi-mcp
npm install -g chiasmus
Updated
11mo ago
5d ago
Open Source
Yes
Yes
Tags
FastAPI, MCP, Python
ai-agents, ai-assistant, ai-tools
03

Features

fastapi_mcp logofastapi_mcp
01Authentication 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
chiasmus logochiasmus
01Formal verification via Z3 SMT solver and Tau Prolog
02Tree-sitter-based source code analysis
03Template-based problem formalization
04End-to-end solving pipeline
05Custom language adapters
04

Use Cases

fastapi_mcp logofastapi_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.
chiasmus logochiasmus
↳Detect conflicts in access control rules
↳Find dead code and perform impact analysis
↳Verify software invariants and state machines
05

Best For

fastapi_mcp logofastapi_mcp
Most PopularEssential
chiasmus logochiasmus
—
FAQ

FAQ

What is the difference between fastapi_mcp and chiasmus?
Both fastapi_mcp and chiasmus are in the Dev Tooling category. fastapi_mcp has 12.0k stars, while chiasmus has 218 stars.
Which is better, fastapi_mcp or chiasmus?
The best choice depends on your use case. Choose fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP., and chiasmus if Detect conflicts in access control rules.
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
Is chiasmus free or open source?
Yes, chiasmus is open source on GitHub (Apache-2.0).
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