Gitee MCP Server

The Gitee MCP Server bridges the gap between AI assistants and the Gitee ecosystem, enabling Claude and other MCP‑compatible tools to manage repositories, issues, pull requests, branches, and files directly from conversational prompts. By exposing a rich set of MCP tools that mirror the core Gitee API, it allows developers to automate routine tasks—such as creating a new repository or merging a pull request—without leaving the AI workflow. This integration is especially valuable for teams that rely on Gitee as their primary code hosting platform, providing a seamless way to incorporate version control operations into natural language interactions.

At its core, the server offers a comprehensive catalog of operations grouped by domain: repository creation and forking; branch management (creation, listing, detail retrieval); file handling (read, write, batch push); issue lifecycle (create, list, update, comment); and pull request management (open, list, update, merge). Each tool follows the MCP schema, making it straightforward for an AI client to discover and invoke them. The ability to push multiple files in a single call, for instance, reduces round‑trip latency and simplifies bulk updates that would otherwise require iterative API calls.

Real‑world scenarios where this server shines include automated CI/CD pipelines that generate documentation or release notes, bots that triage new issues by tagging them based on content, and collaborative coding sessions where an AI assistant can scaffold a feature branch or merge completed work. Because the server is configurable via environment variables, it can be deployed locally with NPX or encapsulated in Docker for production environments, ensuring consistent access across development teams.

Integration into AI workflows is straightforward: a client such as Claude Desktop can install the server through Smithery, which automatically registers the MCP tools. Once registered, prompts like “Create a new branch called feature‑x in repo my‑project” are translated into the tool call, and the server handles authentication with a personal access token. The response is returned as structured data that the AI can further process or present to the user, maintaining a tight loop between natural language and code‑centric actions.

Unique advantages of this MCP server include its lightweight Node.js implementation, which keeps resource usage minimal, and the built‑in debug logging that aids troubleshooting. The server also respects Gitee’s rate limits by delegating all API interactions to the official OpenAPI endpoint, ensuring compliance with platform policies. For developers looking to embed Gitee operations into AI‑driven tools, this server offers a ready‑made, well‑documented bridge that accelerates productivity while keeping the workflow intuitive and conversational.