FAQ

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

Q: What can I do with the GitHub CLI MCP server? A: The GitHub CLI MCP server allows AI assistants to interact with GitHub repositories through the GitHub CLI, enabling tasks such as managing pull requests, issues, workflows, and repositories.

Q: How do I install the GitHub CLI MCP server? A: You can install the server globally using npm: npm install -g gh-cli-mcp. Ensure you have Node.js v18+ and GitHub CLI installed and authenticated.

Q: How do I use the GitHub CLI MCP server with Claude? A: With Claude Code CLI, use the command: claude --mcp "gh-cli-mcp:github-cli:stdio:http://localhost:8888". For Claude Desktop, add the MCP integration in Settings → Tools & Integrations. Refer to the Installation Guide for detailed instructions.

Q: What kind of AI assistants are compatible with the GitHub CLI MCP server? A: Any AI assistant that supports the Model Context Protocol (MCP) can be used with the GitHub CLI MCP server. The server uses a simple stdio integration.

Q: What are the prerequisites for using the GitHub CLI MCP server? A: You need Node.js v18+ and GitHub CLI installed and authenticated on your system.

Q: Where can I find more documentation? A: Visit the GitHub Wiki for complete documentation, including installation, usage, configuration, available tools, and FAQs.

Q: Is the GitHub CLI MCP server free to use? A: Yes, the GitHub CLI MCP server is released under the MIT license, making it free to use.

Q: How does the GitHub CLI MCP server integrate with UBOS? A: UBOS can leverage the GitHub CLI MCP server to automate GitHub-related tasks within its AI Agent workflows, such as triggering builds, running tests, and deploying code upon new commits. It allows UBOS to orchestrate more complex development workflows involving multiple AI Agents interacting with GitHub.