head to head · open source
fastapi_mcp vs gpt-load
fastapi_mcp has 12,007 GitHub stars, 969 forks, 169 open issues and last shipped 10 months ago. gpt-load has 6,865 stars, 759 forks, 21 open issues and last shipped today. fastapi_mcp leads on adoption by 75% (12,007 vs 6,865 stars). fastapi_mcp is written in Python under MIT; gpt-load is written in Go under MIT. fastapi_mcp has attracted 8% as many forks as stars, gpt-load 11%. gpt-load was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude, 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 | gpt-load | |
|---|---|---|
| GitHub stars | ★ 12K | ★ 6.9K |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2025-11-24 | 2026-09-20 |
| Forks | ⑂ 969 | ⑂ 759 |
| 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 gpt-load if
- You want the gpt-load feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and gpt-load 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 gpt-load
GPT Load is a self hosted AI gateway written in Go and released under the MIT license. It gives applications a single entry point — one base URL and one AccessKey — for reaching many AI providers at once. Providers, accounts, credentials, models, and routing policy are configured in the bundled management UI rather than in application code.
read the full gpt-load overview →
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Frequently asked questions
Is fastapi_mcp or gpt-load more popular?
fastapi_mcp has 12,007 GitHub stars and gpt-load has 6,865. fastapi_mcp has the larger community by that measure.
Are fastapi_mcp and gpt-load free?
Both are open source. fastapi_mcp is licensed under MIT and gpt-load under MIT. Neither carries a licence fee.
What is the difference between fastapi_mcp and gpt-load?
fastapi_mcp is written in Python and gpt-load in Go. 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 gpt-load?
Choose fastapi_mcp if you want the larger community (12,007 stars) or its MIT licence terms. Choose gpt-load if its feature set, stack or MIT licence fits better. Both are self-hostable.