head to head · open source
fastapi_mcp vs optillm
fastapi_mcp has 12,007 GitHub stars, 969 forks, 169 open issues and last shipped 10 months ago. optillm has 4,296 stars, 388 forks, 23 open issues and last shipped 3 days ago. fastapi_mcp leads on adoption by 179% (12,007 vs 4,296 stars). fastapi_mcp is written in Python under MIT; optillm is written in Python under Apache-2.0. fastapi_mcp has attracted 8% as many forks as stars, optillm 9%. optillm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| fastapi_mcp | optillm | |
|---|---|---|
| GitHub stars | ★ 12K | ★ 4.3K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2025-11-24 | 2026-09-17 |
| Forks | ⑂ 969 | ⑂ 388 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick fastapi_mcp if
- You weight community size — 12K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick optillm if
- You want the optillm feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and optillm fits your workflow better
About fastapi_mcp
FastAPI MCP is an MIT licensed Python library from Tadata that exposes the endpoints of an existing FastAPI application as Model Context Protocol (MCP) tools, so MCP clients such as Claude and Cursor can call a team's own API, and it is built for Python backend developers who already run FastAPI services and want agent access without hand writing a separate MCP server.
read the full fastapi_mcp overview →
About optillm
OptiLLM is a Python project that provides an optimizing inference proxy for large language models. It exposes an OpenAI API compatible endpoint and sits between an application and model providers, allowing callers to request reasoning oriented optimizations without changing model weights or adding training. The project lives in the developer tools and API development ecosystem, and its topics connect it to agents, agentic workflows, API gateways, chain of thought prompting, and generative AI inference.
read the full optillm overview →
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Frequently asked questions
Is fastapi_mcp or optillm more popular?
fastapi_mcp has 12,007 GitHub stars and optillm has 4,296. fastapi_mcp has the larger community by that measure.
Are fastapi_mcp and optillm free?
Both are open source. fastapi_mcp is licensed under MIT and optillm under Apache-2.0. Neither carries a licence fee.
What is the difference between fastapi_mcp and optillm?
fastapi_mcp is written in Python and optillm in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, fastapi_mcp or optillm?
Choose fastapi_mcp if you want the larger community (12,007 stars) or its MIT licence terms. Choose optillm if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.