fastapi_mcp
★ 12.0k
vs
kremis
★ 15
fastapi_mcp vs kremis
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.; kremis: Kremis is a deterministic knowledge graph MCP server written in Rust. It provides a local, single-binary solution for recording, associating, and retrieving knowledge without relying on LLMs. The system ensures determinism, inspectability, and grounding through ACID transactions and BLAKE3 hashing.
01
TL;DR
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).
kremisDev Tooling · ★ 15
AI agent memory via MCP
02
Side-by-Side Comparison
Field
fastapi_mcpkremisCategory
Dev Tooling
Dev Tooling
Stars
★ 12.0k
★ 15
License
MIT
Apache-2.0
Install Command
uv add fastapi-mcp
git clone https://github.com/TyKolt/kremis.git && cd kremis && cargo build --release
Updated
11mo ago
2d ago
Open Source
Yes
Yes
Tags
FastAPI, MCP, Python
ai, ai-agents, anti-hallucination
03
Features
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
kremis01Deterministic graph engine
02CLI + HTTP API + MCP bridge
03BLAKE3 hashing for integrity
04Canonical export (KREX)
05Zero baked-in knowledge
04
Use Cases
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.
kremis↳AI agent memory via MCP
↳LLM fact-checking
↳Provenance and audit trail
05
Best For
fastapi_mcpMost PopularEssential
kremis—
FAQ
FAQ
What is the difference between fastapi_mcp and kremis?
Both fastapi_mcp and kremis are in the Dev Tooling category. fastapi_mcp has 12.0k stars, while kremis has 15 stars.
Which is better, fastapi_mcp or kremis?
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 kremis if AI agent memory via MCP.
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
Is kremis free or open source?
Yes, kremis is open source on GitHub (Apache-2.0).
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