Github MCP Server S7g
G

Github MCP Server S7g

The GitHub MCP service provides a complete set of tools for GitHub API operations, supporting core functions such as file management, repository operations, search functions, and workflow management.
2 points
9.4K

What is the GitHub MCP Server?

The GitHub MCP Server is a middleware service that provides access to the GitHub API through a standardized protocol. It simplifies GitHub operations, such as file management, repository creation, issue tracking, and code search, enabling developers to interact with GitHub more efficiently.

How to use the GitHub MCP Server?

You can start using it by configuring a Personal Access Token (PAT) and connecting to an MCP client (such as Cursor or Windsurf). It supports two deployment methods: Docker and NPX.

Use Cases

It is suitable for development teams and individual developers who need to automate GitHub operations, batch process repository content, and integrate GitHub functions into their workflows.

Main Features

File Operations
Supports creating, updating, reading files and directories, and automatically handles branch management.
Repository Management
Complete repository operations such as creating repositories, forking repositories, and managing branches.
Issues and Pull Requests
Complete lifecycle management of Issues and Pull Requests.
Advanced Search
Supports complex searches for code, repositories, issues, and users.
Workflow Management
View and manage GitHub Actions workflow runs.
Advantages
A unified API interface simplifies GitHub operations.
Automatically handles Git branches and commit history.
Supports batch operations to improve efficiency.
Has comprehensive error handling and logging.
Seamlessly integrates with existing GitHub workflows.
Limitations
Requires configuration of a GitHub Personal Access Token.
Some advanced Git functions require direct use of the native API.
Large-scale operations may be subject to GitHub API rate limits.
Requires basic command-line knowledge for configuration.

How to Use

Get a GitHub Access Token
Create a Personal Access Token (PAT) in your GitHub settings and select the appropriate permission scope.
Configure the MCP Client
Add the GitHub MCP server settings to the configuration file of Cursor or Windsurf.
Start the Service
Start the MCP server according to the selected deployment method.
Start Using
Send MCP commands through the client tool to interact with GitHub.

Usage Examples

Automated Documentation Update
Automatically update project documentation regularly.
Batch Creation of Feature Branches
Create development branches for multiple features simultaneously.
Automated Issue Classification
Automatically label and assign issues based on their content.

Frequently Asked Questions

What permissions are required to configure the GitHub MCP Server?
How to solve the API rate limit problem?
Does it support GitHub Enterprise?
How to troubleshoot when an operation fails?

Related Resources

GitHub Personal Access Token Documentation
How to create and manage GitHub Personal Access Tokens.
GitHub Search Syntax Reference
Detailed syntax for GitHub code, issue, and repository searches.
MCP Protocol Specification
Official specification document for the Model Context Protocol.
Example Configuration File
An example configuration file for the GitHub MCP Server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "github": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GITHUB_PERSONAL_ACCESS_TOKEN",
        "mcp/github"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-github"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
4.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.2K
4 points
P
Paperbanana
Python
6.4K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.1K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.3K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.7K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase