--- title: "arcade-mcp vs mcp-use" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadeai-arcade-mcp-vs-mcp-use-mcp-use" tools: ["arcadeai-arcade-mcp", "mcp-use-mcp-use"] --- # arcade-mcp vs mcp-use *GraphCanon updated Aug 26, 2026* ## Verdict Pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol; pick mcp-use if the MCP framework for AI Agents development supports TypeScript-based development of applications and servers that integrate with ChatGPT and Claude. [arcade-mcp](https://docs.arcade.dev) reports 981 GitHub stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. [mcp-use](https://manufact.com) has 11k stars, 1.4k forks, and 64 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp) and [mcp-use's repository](https://github.com/mcp-use/mcp-use). | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Tagline | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | MCP framework for AI Agents development | | Stars | 981 | 10,526 | | Forks | 101 | 1,421 | | Open issues | 16 | 64 | | Language | Python | TypeScript | | Adopt for | Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. | The MCP framework for AI Agents development supports TypeScript-based development of applications and servers that integrate with ChatGPT and Claude. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Open issues (now) | 16 | 64 | | Stars delta | Unknown | +154 (30d) | | Open issues delta | Unknown | -58 (30d) | | Full report | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | [trust report](/tools/mcp-use-mcp-use/trust.md) | ## Decision facts: arcade-mcp - **Requirements:** Min 4 GB RAM - **Adopt for:** Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. ## Decision facts: mcp-use - **Adopt for:** The MCP framework for AI Agents development supports TypeScript-based development of applications and servers that integrate with ChatGPT and Claude. ## Choose when ### Choose arcade-mcp if… - arcade-mcp is primarily Python; mcp-use is TypeScript. - Requirements: Min 4 GB RAM. - Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, python. - When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### Choose mcp-use if… - mcp-use is primarily TypeScript; arcade-mcp is Python. - Tags unique to mcp-use: agentic-framework, apps-sdk, chatgpt, claude-code. - Also covers Developer Tools. - If your project involves building an application or server that needs to be integrated with both ChatGPT and Claude using TypeScript, then mcp-use is tailored for this scenario. ## When NOT to use arcade-mcp - If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. - When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ## When NOT to use mcp-use - Do not use if your project requires a different programming language, as mcp-use strictly supports TypeScript. - Avoid using it when your application does not need integration with ChatGPT and Claude, since the framework is specifically designed for these two platforms. ## Common questions ### What is the difference between arcade-mcp and mcp-use? arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. mcp-use: MCP framework for AI Agents development. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcade-mcp over mcp-use? Choose arcade-mcp over mcp-use when arcade-mcp is primarily Python; mcp-use is TypeScript; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, python; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### When should I choose mcp-use over arcade-mcp? Choose mcp-use over arcade-mcp when mcp-use is primarily TypeScript; arcade-mcp is Python; Tags unique to mcp-use: agentic-framework, apps-sdk, chatgpt, claude-code; Also covers Developer Tools; If your project involves building an application or server that needs to be integrated with both ChatGPT and Claude using TypeScript, then mcp-use is tailored for this scenario. ### When should I avoid arcade-mcp? If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ### When should I avoid mcp-use? Do not use if your project requires a different programming language, as mcp-use strictly supports TypeScript. Avoid using it when your application does not need integration with ChatGPT and Claude, since the framework is specifically designed for these two platforms. ### Is arcade-mcp or mcp-use more popular on GitHub? mcp-use has more GitHub stars (10,526 vs 981). Stars measure visibility, not whether either tool fits your constraints. ### Are arcade-mcp and mcp-use open source? Yes - both are open-source projects on GitHub (arcade-mcp: MIT, mcp-use: MIT). ### Where can I find alternatives to arcade-mcp or mcp-use? GraphCanon lists graph-backed alternatives at [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) and [mcp-use alternatives](/tools/mcp-use-mcp-use/alternatives) ([arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/alternatives.md), [mcp-use markdown twin](/tools/mcp-use-mcp-use/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/arcadeai-arcade-mcp-vs-mcp-use-mcp-use.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcade-mcp or mcp-use? arcade-mcp: Very active. mcp-use: 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 arcade-mcp and mcp-use? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust); [mcp-use trust report](/tools/mcp-use-mcp-use/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadeai-arcade-mcp`](/api/graphcanon/graph?tool=arcadeai-arcade-mcp) - 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/_