--- title: "mcp-use vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mcp-use-mcp-use-vs-significant-gravitas-autogpt" tools: ["mcp-use-mcp-use", "significant-gravitas-autogpt"] --- # mcp-use vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick mcp-use when mcp-use is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; mcp-use is TypeScript. [mcp-use](https://manufact.com) reports 10k GitHub stars, 1.4k forks, and 103 open issues, last pushed Jul 11, 2026. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [mcp-use's repository](https://github.com/mcp-use/mcp-use) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [mcp-use](/tools/mcp-use-mcp-use.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 10,281 | 185,464 | | Forks | 1,358 | 46,111 | | Open issues | 103 | 494 | | Language | TypeScript | Python | | Adopt for | - | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | LLM Frameworks, AI Agents, Developer Tools | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcp-use](/tools/mcp-use-mcp-use.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 103 | 494 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/mcp-use-mcp-use/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. ## Choose when ### Choose mcp-use if… - mcp-use is primarily TypeScript; AutoGPT is Python. - License: mcp-use is MIT, AutoGPT is Other. - Tags unique to mcp-use: llms, claude-connectors, agentic-framework, apps-sdk. - Also covers Developer Tools. ### Choose AutoGPT if… - AutoGPT is primarily Python; mcp-use is TypeScript. - License: AutoGPT is Other, mcp-use is MIT. - Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use mcp-use - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use AutoGPT - Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. - If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ## Common questions ### What is the difference between mcp-use and AutoGPT? mcp-use: The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcp-use over AutoGPT? Choose mcp-use over AutoGPT when mcp-use is primarily TypeScript; AutoGPT is Python; License: mcp-use is MIT, AutoGPT is Other; Tags unique to mcp-use: llms, claude-connectors, agentic-framework, apps-sdk; Also covers Developer Tools. ### When should I choose AutoGPT over mcp-use? Choose AutoGPT over mcp-use when AutoGPT is primarily Python; mcp-use is TypeScript; License: AutoGPT is Other, mcp-use is MIT; Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid mcp-use? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid AutoGPT? Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ### Is mcp-use or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 10,281). Stars measure visibility, not whether either tool fits your constraints. ### Are mcp-use and AutoGPT open source? Yes - both are open-source projects on GitHub (mcp-use: MIT, AutoGPT: Other). ### Where can I find alternatives to mcp-use or AutoGPT? GraphCanon lists graph-backed alternatives at [mcp-use alternatives](/tools/mcp-use-mcp-use/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([mcp-use markdown twin](/tools/mcp-use-mcp-use/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/mcp-use-mcp-use-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcp-use or AutoGPT? mcp-use: Very active. AutoGPT: Very active. 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 mcp-use and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcp-use trust report](/tools/mcp-use-mcp-use/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mcp-use-mcp-use`](/api/graphcanon/graph?tool=mcp-use-mcp-use) - 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/_