AIBase
EN
Explore
Github MCP Server Syu
G

Github MCP Server Syu

The GitHub MCP server is an independent implementation that provides comprehensive operation support for the GitHub API, including file management, repository operations, search functions, etc. It has features such as automatic branch creation, batch operations, and advanced search, and maintains the integrity of Git history.
Version controlDeveloper tools#GitHub Management#Code Operations#Repository Search#Version Control.TypeScript
2 points
9.4K
Open Site

Overview

Installation

Content Details

Alternatives

What is the GitHub MCP server?

The GitHub MCP server is a tool built on the GitHub API for managing repositories and files on GitHub. It allows users to easily create, update, and delete files, and provides advanced search functions to find code, issues, and users.

How to use the GitHub MCP server?

Simply provide your GitHub personal access token to start using the server for repository management and file operations. You can quickly complete tasks through simple command-line operations.

Use cases

Suitable for developers, teams, or organizations that need to interact with GitHub frequently, such as automated script writing, collaborative development, and project management.

Main Features

Automatic Branch Creation
When creating or updating a file, if the specified branch does not exist, the system will automatically create a new branch for you.
Comprehensive Error Handling
Provides clear error messages to help you quickly locate and solve problems.
Maintain Git History
Each operation will retain the correct Git history without the need for forced pushes.
Batch Operations
Supports batch operations for single or multiple files to improve work efficiency.
Advanced Search Function
Supports comprehensive search for code, issues/PRs, and users.
Advantages
Easy to use and powerful
Supports various operations, including file management, repository management, and search
Maintains Git history to ensure version control
Provides detailed error prompts for easy debugging
Limitations
Requires a valid GitHub personal access token
Some advanced features may require specific permissions
Has a certain dependence on network connection

How to Use

Get a GitHub Personal Access Token
Log in to your GitHub account and generate a personal access token with appropriate permissions.
Configure the MCP Server
Add the generated token to your configuration file, such as `claude_desktop_config.json`.
Run the MCP Server
Start the Docker container or use the NPX command to run the MCP server.

Usage Examples

Create or Update a File
Use the `create_or_update_file` command to create a new Markdown file.
Search for Repositories
Use the `search_repositories` command to find repositories containing specific keywords.

Frequently Asked Questions

How to generate a GitHub personal access token?
Why can't I create a new file?

Related Resources

GitHub MCP Server Documentation
The official documentation of the GitHub MCP server.
GitHub API Documentation
The complete reference for the GitHub REST API.

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
10.6K
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
9.2K
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
16.0K
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
7.8K
4 points
P
Paperbanana
Python
9.1K
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
9.7K
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
10.0K
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
10.1K
5 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
38.2K
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
24.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.7K
4.3 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
28.6K
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#
38.6K
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
70.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.6K
4.8 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
106.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase