--- title: "prompts.chat vs fastapi_mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-tadata-org-fastapi-mcp" tools: ["f-prompts-chat", "tadata-org-fastapi-mcp"] --- # prompts.chat vs fastapi_mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; fastapi_mcp is Python; pick fastapi_mcp when fastapi_mcp is primarily Python; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 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 [prompts.chat's repository](https://github.com/f/prompts.chat) and [fastapi_mcp's repository](https://github.com/tadata-org/fastapi_mcp). | | [prompts.chat](/tools/f-prompts-chat.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! | | Stars | 165,372 | 11,939 | | Forks | 21,400 | 952 | | Open issues | 60 | 158 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 228d | | Open issues (now) | 60 | 158 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/tadata-org-fastapi-mcp/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; fastapi_mcp is Python. - License: prompts.chat is Other, fastapi_mcp is MIT. - Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, gemini. - Critical decision points for evaluating `prompts.chat` ### Choose fastapi_mcp if… - fastapi_mcp is primarily Python; prompts.chat is HTML. - License: fastapi_mcp is MIT, prompts.chat is Other. - Tags unique to fastapi_mcp: authentication, authorization, cursor, fastapi. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between prompts.chat and fastapi_mcp? prompts.chat: Share, discover, and collect prompts from the community. 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 prompts.chat over fastapi_mcp? Choose prompts.chat over fastapi_mcp when prompts.chat is primarily HTML; fastapi_mcp is Python; License: prompts.chat is Other, fastapi_mcp is MIT; Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, gemini; Critical decision points for evaluating `prompts.chat`. ### When should I choose fastapi_mcp over prompts.chat? Choose fastapi_mcp over prompts.chat when fastapi_mcp is primarily Python; prompts.chat is HTML; License: fastapi_mcp is MIT, prompts.chat is Other; Tags unique to fastapi_mcp: authentication, authorization, cursor, fastapi. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is prompts.chat or fastapi_mcp more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 11,939). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and fastapi_mcp open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, fastapi_mcp: MIT). ### Where can I find alternatives to prompts.chat or fastapi_mcp? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [fastapi_mcp alternatives](/tools/tadata-org-fastapi-mcp/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/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/f-prompts-chat-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, prompts.chat or fastapi_mcp? prompts.chat: 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 prompts.chat and fastapi_mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [fastapi_mcp trust report](/tools/tadata-org-fastapi-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_