developer-toolsproductivity

Gitee

normal-coder

by normal-coder

Integrate with Gitee to manage repositories, track issues, and streamline code workflows easily using secure token authe

Integrates with Gitee repositories to enable repository creation, code management, issue tracking, and pull request workflows using a simple token-based authentication system.

github stars

7

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Token-based authentication20+ repository operationsBatch file operations support

best for

  • / Developers automating Gitee repository management
  • / Teams streamlining issue tracking workflows
  • / AI-assisted code review and pull request handling

capabilities

  • / Create and fork Gitee repositories
  • / Manage branches and file operations
  • / Create and update issues with comments
  • / Handle pull request workflows
  • / Push multiple files to repositories
  • / List and retrieve repository details

what it does

Connects AI assistants to Gitee repositories for managing code, issues, and pull requests. Enables automated Git workflows through simple token authentication.

about

Gitee is a community-built MCP server published by normal-coder that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Gitee to manage repositories, track issues, and streamline code workflows easily using secure token authe It is categorized under developer tools, productivity.

how to install

You can install Gitee in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Gitee is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Gitee MCP Server

Let AI operate Gitee repositories/Issues/Pull Requests for you through MCP

Node Version NPM Version Docker Pulls Docker Image Version LICENSE smithery badge

<img width="380" height="200" src="https://glama.ai/mcp/servers/cck9xigm1d/badge" />


Supported AI Operations

CategoryMCP ToolDescription
Repository Operationscreate_repositoryCreate a Gitee repository
fork_repositoryFork a Gitee repository
Branch Operationscreate_branchCreate a new branch in a Gitee repository
list_branchesList branches in a Gitee repository
get_branchGet details of a specific branch in a Gitee repository
File Operationsget_file_contentsGet contents of a file or directory in a Gitee repository
create_or_update_fileCreate or update a file in a Gitee repository
push_filesPush multiple files to a Gitee repository
Issue Operationscreate_issueCreate an Issue in a Gitee repository
list_issuesList Issues in a Gitee repository
get_issueGet details of a specific Issue in a Gitee repository
update_issueUpdate an Issue in a Gitee repository
add_issue_commentAdd a comment to an Issue in a Gitee repository
Pull Request Operationscreate_pull_requestCreate a Pull Request in a Gitee repository
list_pull_requestsList Pull Requests in a Gitee repository
get_pull_requestGet details of a specific Pull Request in a Gitee repository
update_pull_requestUpdate a Pull Request in a Gitee repository
merge_pull_requestMerge a Pull Request in a Gitee repository
User Operationsget_userGet Gitee user information
get_current_userGet authenticated Gitee user information

Usage

Installing via Smithery

To install Gitee MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @normal-coder/gitee-mcp-server --client claude

Configuration

  • GITEE_API_BASE_URL: Optional, Gitee OpenAPI Endpoint, default is https://gitee.com/api/v5
  • GITEE_PERSONAL_ACCESS_TOKEN: Required, Gitee account personal access token (PAT), can be obtained from Gitee account settings Personal Access Tokens
  • DEBUG: Optional, set to true to enable debug logging, default is disabled

Run MCP Server via NPX

{
  "mcpServers": {
    "Gitee": {
      "command": "npx",
      "args": [
        "-y",
        "gitee-mcp-server"
      ],
      "env": {
        "GITEE_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Run MCP Server via Docker Container

  1. Get Docker Image
# Get from DockerHub
docker pull normalcoder/gitee-mcp-server

# Build locally
docker build -t normalcoder/gitee-mcp-server .
  1. Configure MCP Server
{
  "mcpServers": {
    "Gitee": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GITEE_PERSONAL_ACCESS_TOKEN",
        "normalcoder/gitee-mcp-server"
      ],
      "env": {
        "GITEE_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Development Guide

Install Dependencies

npm install

Build

npm run build

After successful build, /dist will contain the runnable MCP server.

Run Server

npm start

The MCP server will run on stdio, allowing it to be used as a subprocess by MCP clients.

Build Docker Image

You can also run the server using Docker:

docker build -t normalcoder/gitee-mcp-server .

Run MCP Server with Docker:

docker run -e GITEE_PERSONAL_ACCESS_TOKEN=<YOUR_TOKEN> normalcoder/gitee-mcp-server

Debug MCP Server

You can use @modelcontextprotocol/inspector for debugging:

Create a .env file in the root directory for environment variables:

GITEE_API_BASE_URL=https://gitee.com/api/v5
GITEE_PERSONAL_ACCESS_TOKEN=<YOUR_TOKEN>

Run the debug tool to start the service and web debug interface:

npx @modelcontextprotocol/inspector npm run start --env-file=.env

The project includes a debug() function for printing debug information, usage:

import { debug } from './common/utils.js';

debug('Message to log');
debug('Message with data:', { key: 'value' });

Debug logs are only printed when the DEBUG environment variable is set to true.

Dependencies

  • @modelcontextprotocol/sdk: MCP SDK for server implementation
  • universal-user-agent: For generating user agent strings
  • zod: For schema validation
  • zod-to-json-schema: For converting Zod schemas to JSON schemas

License

Licensed under MIT License. You are free to use, modify and distribute the software, subject to the terms and conditions of the MIT License. For more details, see the LICENSE file in the project repository.

Related Links

FAQ

What is the Gitee MCP server?
Gitee is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Gitee?
This profile displays 28 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.828 reviews
  • Ganesh Mohane· Dec 24, 2024

    Useful MCP listing: Gitee is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Camila Yang· Dec 8, 2024

    We evaluated Gitee against two servers with overlapping tools; this profile had the clearer scope statement.

  • Isabella Singh· Dec 8, 2024

    Gitee has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ira Ghosh· Nov 27, 2024

    Useful MCP listing: Gitee is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Isabella Zhang· Nov 27, 2024

    According to our notes, Gitee benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Yash Thakker· Nov 23, 2024

    Gitee reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Sakshi Patil· Nov 15, 2024

    We evaluated Gitee against two servers with overlapping tools; this profile had the clearer scope statement.

  • Liam Martinez· Oct 18, 2024

    Strong directory entry: Gitee surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Nia Farah· Oct 18, 2024

    Gitee is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Dhruvi Jain· Oct 14, 2024

    We wired Gitee into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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