Comparison
mcp-use vs AutoGPT
Verdict
Pick mcp-use when mcp-use is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; mcp-use is TypeScript.
Markdown twin · mcp-use alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mcp-use | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- 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.
Stars
- mcp-use
- 10k
- AutoGPT
- 185k
Forks
- mcp-use
- 1.4k
- AutoGPT
- 46k
Open issues
- mcp-use
- 103
- AutoGPT
- 494
Language
- mcp-use
- TypeScript
- AutoGPT
- Python
Adopt for
- mcp-use
- -
- AutoGPT
- 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
- mcp-use
- -
- AutoGPT
- -
Runtime
- mcp-use
- -
- AutoGPT
- -
License
- mcp-use
- MIT
- AutoGPT
- Other
Last pushed
- mcp-use
- Jul 11, 2026
- AutoGPT
- Jul 11, 2026
Categories
- mcp-use
- AI Agents, LLM Frameworks, Developer Tools
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- mcp-use
- 103
- AutoGPT
- 494
Security scan
- mcp-use
- No MCP manifest
- AutoGPT
- No lockfile
Full report
- mcp-use
- Trust report
- AutoGPT
- Trust report
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.
When NOT to use mcp-use
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mcp-use/mcp-use) · observed Jul 11, 2026
- GitHub forks (mcp-use/mcp-use) · observed Jul 11, 2026
- Last push (mcp-use/mcp-use) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mcp-use 10k · AutoGPT 185k (synced Jul 11, 2026).
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?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
- 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 and AutoGPT alternatives (mcp-use markdown twin, AutoGPT markdown twin), 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 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; AutoGPT trust report.