--- title: "OpenHands vs fastapi_mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openhands-openhands-vs-tadata-org-fastapi-mcp" tools: ["openhands-openhands", "tadata-org-fastapi-mcp"] --- # OpenHands vs fastapi_mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick OpenHands when license: OpenHands is Other, fastapi_mcp is MIT; pick fastapi_mcp when license: fastapi_mcp is MIT, OpenHands is Other. [OpenHands](https://openhands.dev) reports 80k GitHub stars, 10k forks, and 359 open issues, last pushed Jul 11, 2026. [fastapi_mcp](https://fastapi-mcp.tadata.com/) has 12k stars, 952 forks, and 158 open issues, last pushed Nov 24, 2025. Figures are from public GitHub metadata via [OpenHands's repository](https://github.com/OpenHands/OpenHands) and [fastapi_mcp's repository](https://github.com/tadata-org/fastapi_mcp). | | [OpenHands](/tools/openhands-openhands.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Tagline | AI-Driven Development | Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! | | Stars | 80,430 | 11,939 | | Forks | 10,259 | 952 | | Open issues | 359 | 158 | | Language | Python | Python | | Adopt for | OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python. | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenHands](/tools/openhands-openhands.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 228d | | Open issues (now) | 359 | 158 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/openhands-openhands/trust.md) | [trust report](/tools/tadata-org-fastapi-mcp/trust.md) | ## Decision facts: OpenHands - **Adopt for:** OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python. ## Choose when ### Choose OpenHands if… - License: OpenHands is Other, fastapi_mcp is MIT. - Tags unique to OpenHands: claude-ai, artificial-intelligence, chatgpt, openai. - - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI. ### Choose fastapi_mcp if… - License: fastapi_mcp is MIT, OpenHands is Other. - Tags unique to fastapi_mcp: authentication, ai, fastapi, claude. - Leaner open-issue backlog (158). ## When NOT to use OpenHands - - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI. ## When NOT to use fastapi_mcp - Last GitHub push was 229 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on fastapi_mcp. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between OpenHands and fastapi_mcp? OpenHands: AI-Driven Development. fastapi_mcp: Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenHands over fastapi_mcp? Choose OpenHands over fastapi_mcp when License: OpenHands is Other, fastapi_mcp is MIT; Tags unique to OpenHands: claude-ai, artificial-intelligence, chatgpt, openai; - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI. ### When should I choose fastapi_mcp over OpenHands? Choose fastapi_mcp over OpenHands when License: fastapi_mcp is MIT, OpenHands is Other; Tags unique to fastapi_mcp: authentication, ai, fastapi, claude; Leaner open-issue backlog (158). ### When should I avoid OpenHands? - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI. ### When should I avoid fastapi_mcp? Last GitHub push was 229 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on fastapi_mcp. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is OpenHands or fastapi_mcp more popular on GitHub? OpenHands has more GitHub stars (80,430 vs 11,939). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenHands and fastapi_mcp open source? Yes - both are open-source projects on GitHub (OpenHands: Other, fastapi_mcp: MIT). ### Where can I find alternatives to OpenHands or fastapi_mcp? GraphCanon lists graph-backed alternatives at [OpenHands alternatives](/tools/openhands-openhands/alternatives) and [fastapi_mcp alternatives](/tools/tadata-org-fastapi-mcp/alternatives) ([OpenHands markdown twin](/tools/openhands-openhands/alternatives.md), [fastapi_mcp markdown twin](/tools/tadata-org-fastapi-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/openhands-openhands-vs-tadata-org-fastapi-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenHands or fastapi_mcp? OpenHands: Very active. fastapi_mcp: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for OpenHands and fastapi_mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenHands trust report](/tools/openhands-openhands/trust); [fastapi_mcp trust report](/tools/tadata-org-fastapi-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openhands-openhands`](/api/graphcanon/graph?tool=openhands-openhands) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_