--- title: "excel-mcp-server vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haris-musa-excel-mcp-server-vs-microsoft-autogen" tools: ["haris-musa-excel-mcp-server", "microsoft-autogen"] --- # excel-mcp-server vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick excel-mcp-server when license: excel-mcp-server is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, excel-mcp-server is MIT. [excel-mcp-server](https://excelmcpserver.com) reports 4.0k GitHub stars, 446 forks, and 67 open issues, last pushed Apr 12, 2026. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [excel-mcp-server's repository](https://github.com/haris-musa/excel-mcp-server) and [autogen's repository](https://github.com/microsoft/autogen). | | [excel-mcp-server](/tools/haris-musa-excel-mcp-server.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | A Model Context Protocol server for Excel file manipulation | A programming framework for agentic AI | | Stars | 4,029 | 59,658 | | Forks | 446 | 8,983 | | Open issues | 67 | 945 | | 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 | MIT | CC-BY-4.0 | | Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [excel-mcp-server](/tools/haris-musa-excel-mcp-server.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 94d | 87d | | Open issues (now) | 67 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/haris-musa-excel-mcp-server/trust.md) | [trust report](/tools/microsoft-autogen/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 excel-mcp-server if… - License: excel-mcp-server is MIT, autogen is CC-BY-4.0. - Tags unique to excel-mcp-server: automation, excel, llm, mcp. - Also covers Developer Tools. ### Choose autogen if… - License: autogen is CC-BY-4.0, excel-mcp-server 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: agentic-agi, agents, autogen, autogen-ecosystem. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use excel-mcp-server - Last GitHub push was 94 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on excel-mcp-server. - 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 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. ## Common questions ### What is the difference between excel-mcp-server and autogen? excel-mcp-server: A Model Context Protocol server for Excel file manipulation. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose excel-mcp-server over autogen? Choose excel-mcp-server over autogen when License: excel-mcp-server is MIT, autogen is CC-BY-4.0; Tags unique to excel-mcp-server: automation, excel, llm, mcp; Also covers Developer Tools. ### When should I choose autogen over excel-mcp-server? Choose autogen over excel-mcp-server when License: autogen is CC-BY-4.0, excel-mcp-server 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: agentic-agi, agents, autogen, autogen-ecosystem; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid excel-mcp-server? Last GitHub push was 94 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on excel-mcp-server. 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 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. ### Is excel-mcp-server or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 4,029). Stars measure visibility, not whether either tool fits your constraints. ### Are excel-mcp-server and autogen open source? Yes - both are open-source projects on GitHub (excel-mcp-server: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to excel-mcp-server or autogen? GraphCanon lists graph-backed alternatives at [excel-mcp-server alternatives](/tools/haris-musa-excel-mcp-server/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([excel-mcp-server markdown twin](/tools/haris-musa-excel-mcp-server/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/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/haris-musa-excel-mcp-server-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, excel-mcp-server or autogen? excel-mcp-server: Slowing. autogen: Steady. 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 excel-mcp-server and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [excel-mcp-server trust report](/tools/haris-musa-excel-mcp-server/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haris-musa-excel-mcp-server`](/api/graphcanon/graph?tool=haris-musa-excel-mcp-server) - 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/_