--- title: "autogen vs fastapi_mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-tadata-org-fastapi-mcp" tools: ["microsoft-autogen", "tadata-org-fastapi-mcp"] --- # autogen vs fastapi_mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, fastapi_mcp is MIT; pick fastapi_mcp when license: fastapi_mcp is MIT, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 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 [autogen's repository](https://github.com/microsoft/autogen) and [fastapi_mcp's repository](https://github.com/tadata-org/fastapi_mcp). | | [autogen](/tools/microsoft-autogen.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! | | Stars | 59,658 | 11,939 | | Forks | 8,983 | 952 | | Open issues | 945 | 158 | | Language | Python | Python | | Adopt for | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | - | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | MIT | | Categories | LLM Frameworks, AI Agents | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [fastapi_mcp](/tools/tadata-org-fastapi-mcp.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 87d | 228d | | Open issues (now) | 945 | 158 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/tadata-org-fastapi-mcp/trust.md) | ## Decision facts: autogen - **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure. - **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, fastapi_mcp is MIT. - Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.. - Tags unique to autogen: llm-framework, autogen, agents, agentic-agi. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose fastapi_mcp if… - License: fastapi_mcp is MIT, autogen is CC-BY-4.0. - Tags unique to fastapi_mcp: authentication, llm, fastapi, claude. - Also covers Developer Tools. ## When NOT to use autogen - If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. - When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. - You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ## 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 autogen and fastapi_mcp? autogen: A programming framework for agentic AI. 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 autogen over fastapi_mcp? Choose autogen over fastapi_mcp when License: autogen is CC-BY-4.0, fastapi_mcp is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: llm-framework, autogen, agents, agentic-agi; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose fastapi_mcp over autogen? Choose fastapi_mcp over autogen when License: fastapi_mcp is MIT, autogen is CC-BY-4.0; Tags unique to fastapi_mcp: authentication, llm, fastapi, claude; Also covers Developer Tools. ### When should I avoid autogen? If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ### 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 autogen or fastapi_mcp more popular on GitHub? autogen has more GitHub stars (59,658 vs 11,939). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and fastapi_mcp open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, fastapi_mcp: MIT). ### Where can I find alternatives to autogen or fastapi_mcp? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [fastapi_mcp alternatives](/tools/tadata-org-fastapi-mcp/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/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/microsoft-autogen-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, autogen or fastapi_mcp? autogen: Steady. 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 autogen and fastapi_mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [fastapi_mcp trust report](/tools/tadata-org-fastapi-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen) - 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/_