--- title: "awesome-ai-sdks vs mcp-use" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/e2b-dev-awesome-ai-sdks-vs-mcp-use-mcp-use" tools: ["e2b-dev-awesome-ai-sdks", "mcp-use-mcp-use"] --- # awesome-ai-sdks vs mcp-use *GraphCanon updated Aug 26, 2026* ## Verdict Pick awesome-ai-sdks if awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems; 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. [awesome-ai-sdks](https://github.com/e2b-dev/awesome-ai-sdks) reports 1.2k GitHub stars, 361 forks, and 241 open issues, last pushed Jul 9, 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 [awesome-ai-sdks's repository](https://github.com/e2b-dev/awesome-ai-sdks) and [mcp-use's repository](https://github.com/mcp-use/mcp-use). | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Tagline | A database of SDKs for AI agents creation and management | MCP framework for AI Agents development | | Stars | 1,213 | 10,526 | | Forks | 361 | 1,421 | | Open issues | 241 | 64 | | Language | - | TypeScript | | Adopt for | awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. | 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 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 42d | 0d | | Open issues (now) | 241 | 64 | | Stars delta | +6 (30d) | +154 (30d) | | Open issues delta | +29 (30d) | -58 (30d) | | Full report | [trust report](/tools/e2b-dev-awesome-ai-sdks/trust.md) | [trust report](/tools/mcp-use-mcp-use/trust.md) | ## Shared compatibility - **ChatGPT**: [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) - Works with ChatGPT; [mcp-use](/tools/mcp-use-mcp-use.md) - Works with ChatGPT - **Node.js**: [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) - Node.js runtime; [mcp-use](/tools/mcp-use-mcp-use.md) - Node.js runtime ## Decision facts: awesome-ai-sdks - **Adopt for:** awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. ## 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 awesome-ai-sdks if… - Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain. - When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource. ### Choose mcp-use if… - Tags unique to mcp-use: agentic-framework, ai, apps-sdk, chatgpt. - 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. - More GitHub stars (11k vs 1.2k) - visibility, not fit. ## When NOT to use awesome-ai-sdks - For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. - If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment. ## 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 awesome-ai-sdks and mcp-use? awesome-ai-sdks: A database of SDKs for AI agents creation and management. mcp-use: MCP framework for AI Agents development. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-sdks over mcp-use? Choose awesome-ai-sdks over mcp-use when Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource. ### When should I choose mcp-use over awesome-ai-sdks? Choose mcp-use over awesome-ai-sdks when Tags unique to mcp-use: agentic-framework, ai, apps-sdk, chatgpt; 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; More GitHub stars (11k vs 1.2k) - visibility, not fit. ### When should I avoid awesome-ai-sdks? For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment. ### 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 awesome-ai-sdks or mcp-use more popular on GitHub? mcp-use has more GitHub stars (10,526 vs 1,213). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-sdks and mcp-use open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-ai-sdks or mcp-use? GraphCanon lists graph-backed alternatives at [awesome-ai-sdks alternatives](/tools/e2b-dev-awesome-ai-sdks/alternatives) and [mcp-use alternatives](/tools/mcp-use-mcp-use/alternatives) ([awesome-ai-sdks markdown twin](/tools/e2b-dev-awesome-ai-sdks/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/e2b-dev-awesome-ai-sdks-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, awesome-ai-sdks or mcp-use? awesome-ai-sdks: Steady. 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 awesome-ai-sdks and mcp-use? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-sdks trust report](/tools/e2b-dev-awesome-ai-sdks/trust); [mcp-use trust report](/tools/mcp-use-mcp-use/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks`](/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks) - 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/_