head to head · open source
fastapi_mcp vs gpt-load
fastapi_mcp has 12,026 GitHub stars, 967 forks, 169 open issues and last shipped 12 months ago. gpt-load has 7,199 stars, 798 forks, 21 open issues and last shipped 2 days ago. fastapi_mcp leads on adoption by 67% (12,026 vs 7,199 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 | ★ 7.2K |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2025-11-24 | 2026-11-03 |
| Forks | ⑂ 967 | ⑂ 798 |
| 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
Built by Tadata FastAPI MCP Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! Features Authentication built in, using your existing FastAPI dependencies! FastAPI native: Not just another OpenAPI MCP converter Zero/Minimal configuration required just point it at your FastAPI app and it works Preserving schemas of your request models and response models Preserve documentation of all your endpoints, just as it is in Swagger Flexible deployment Mount your MCP server to the same app, or deploy separately ASGI transport Uses FastAPI's ASGI interface directly for efficient communication…
read the full fastapi_mcp overview →
About gpt-load
GPT Load A self hosted AI gateway for multi channel, multi credential setups API keys, subscription accounts, traffic scheduling, failure handling, request logs, and usage accounting — behind a single entry point. English · 中文 · 日本語 Official Website Sponsors Become a sponsor Sponsor details (collapsible) OfoxAI: Text, image, and video AI in one platform OfoxAI is a unified AI API platform bringing together text, image, and video models from multiple providers. With OpenAI compatible endpoints and native Anthropic and Gemini interfaces, developers can access models for AI applications, agents, and content…
read the full gpt-load overview →
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Frequently asked questions
Is fastapi_mcp or gpt-load more popular?
fastapi_mcp has 12,026 GitHub stars and gpt-load has 7,199. 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 (12,026 stars) or its MIT licence terms. Choose gpt-load if its feature set, stack or MIT licence fits better. Both are self-hostable.