--- title: "mcpc vs mcp-use" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-mcp-use-mcp-use" tools: ["apify-mcpc", "mcp-use-mcp-use"] --- # mcpc vs mcp-use *GraphCanon updated Aug 26, 2026* ## Verdict Pick mcpc if mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities; 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. [mcpc](https://npmjs.com/package/@apify/mcpc) reports 733 GitHub stars, 66 forks, and 18 open issues, last pushed Jul 27, 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 [mcpc's repository](https://github.com/apify/mcpc) and [mcp-use's repository](https://github.com/mcp-use/mcp-use). | | [mcpc](/tools/apify-mcpc.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Tagline | CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy. | MCP framework for AI Agents development | | Stars | 733 | 10,526 | | Forks | 66 | 1,421 | | Open issues | 18 | 64 | | Language | TypeScript | TypeScript | | Adopt for | mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities. | The MCP framework for AI Agents development supports TypeScript-based development of applications and servers that integrate with ChatGPT and Claude. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcpc](/tools/apify-mcpc.md) | [mcp-use](/tools/mcp-use-mcp-use.md) | | --- | --- | --- | | Open issues (now) | 18 | 64 | | Stars delta | Unknown | +154 (30d) | | Open issues delta | Unknown | -58 (30d) | | Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/mcp-use-mcp-use/trust.md) | ## Shared compatibility - **Node.js**: [mcpc](/tools/apify-mcpc.md) - Node.js runtime; [mcp-use](/tools/mcp-use-mcp-use.md) - Node.js runtime ## Decision facts: mcpc - **Requirements:** Does not require Docker, can be integrated easily within environments without Docker support. - **Adopt for:** mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities. - **License detail:** Apache-2.0 ## 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 mcpc if… - License: mcpc is Apache-2.0, mcp-use is MIT. - Requirements: Does not require Docker, can be integrated easily within environments without Docker support.. - Tags unique to mcpc: ai-agents, cli, command-line, mcp-client. - mcpc ships an MCP server manifest. - If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling. ### Choose mcp-use if… - License: mcp-use is MIT, mcpc is Apache-2.0. - 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. ## When NOT to use mcpc - In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative. - If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these. ## 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 mcpc and mcp-use? mcpc: CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy.. mcp-use: MCP framework for AI Agents development. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcpc over mcp-use? Choose mcpc over mcp-use when License: mcpc is Apache-2.0, mcp-use is MIT; Requirements: Does not require Docker, can be integrated easily within environments without Docker support.; Tags unique to mcpc: ai-agents, cli, command-line, mcp-client; mcpc ships an MCP server manifest; If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling. ### When should I choose mcp-use over mcpc? Choose mcp-use over mcpc when License: mcp-use is MIT, mcpc is Apache-2.0; 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. ### When should I avoid mcpc? In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative. If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these. ### 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 mcpc or mcp-use more popular on GitHub? mcp-use has more GitHub stars (10,526 vs 733). Stars measure visibility, not whether either tool fits your constraints. ### Are mcpc and mcp-use open source? Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, mcp-use: MIT). ### Where can I find alternatives to mcpc or mcp-use? GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [mcp-use alternatives](/tools/mcp-use-mcp-use/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/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/apify-mcpc-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, mcpc or mcp-use? mcpc: 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 mcpc and mcp-use? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [mcp-use trust report](/tools/mcp-use-mcp-use/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apify-mcpc`](/api/graphcanon/graph?tool=apify-mcpc) - 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/_