AIbase
EN
Explore
MCP Test
M

MCP Test

This project is a dedicated repository for testing the GitHub Model Context Protocol (MCP), mainly verifying the interaction functions between AI models and GitHub services, including repository management, issue tracking, and content operations such as the PR process.
Version controlDeveloper tools#AI Collaboration#Protocol Testing#Version Control#Intelligent Management
2 points
9

What is the GitHub MCP server?

The MCP server is an intelligent middleware that allows AI assistants to interact with the GitHub platform through a standardized protocol. It maintains the operation context, enabling AI to perform complex version control tasks while maintaining awareness of the project status.

How to use the MCP server?

Interact with the AI model through natural language instructions or structured commands. The model will convert the requests into GitHub API operations through the MCP protocol. Users can complete complex operations without directly calling the GitHub API.

Use cases

Suitable for scenarios such as code repository management with AI assistance, intelligent issue handling, automated code review, and enhanced team collaboration. It is particularly suitable for non-technical users to participate in technical projects.

Main Features

Intelligent Repository ManagementAI assists in repository creation, configuration, and content management, and automatically handles complex branch operations.
Context-Aware Issue HandlingUnderstand the historical context of issues, intelligently assign labels and responsible persons, and automatically generate solution suggestions.
Enhanced PR WorkflowAutomatically detect code conflicts, provide merge suggestions, and generate intelligent code review comments.
Structured Content OperationsModel-guided file and directory management to maintain the logical consistency of the project structure.
Enhanced CollaborationIntelligently adjust permissions and work assignments based on team dynamics to optimize the collaboration process.

Advantages and Limitations

Advantages
Lower the threshold for using GitHub, enabling non-technical users to participate in technical projects
Reduce repetitive operations through context awareness
Automate complex workflows and improve development efficiency
Intelligent suggestions reduce human errors
Limitations
Requires initial configuration and training to adapt to specific projects
Complex operations may require manual verification
Limited support for non-standard workflows
Depends on the accuracy of the model's understanding

How to Use

Connect to the MCP server
Configure your AI assistant to connect to the MCP service endpoint.
Set the project context
Provide basic project information to establish the operation context.
Execute operations
Execute GitHub operations through natural language or structured commands.
Verify the results
Check the operation results and make adjustments as needed.

Usage Examples

Intelligent Issue HandlingWhen a user reports a bug, the MCP automatically analyzes similar historical issues, suggests possible solutions, and tags relevant developers.
Automated PR ProcessAfter a developer completes feature development, the MCP automatically creates a PR, runs basic checks, and notifies relevant personnel for review.
Project Documentation UpdateWhen the API changes, the MCP automatically detects the scope of influence and prompts to update the relevant documentation.

Frequently Asked Questions

What permissions does the MCP require?
How to ensure the accuracy of operations?
Does it support private repositories?
How to handle operation failures?

Related Resources

MCP Protocol Specification
Complete technical specification of the MCP protocol
Example Projects
A collection of example projects demonstrating various usage methods of the MCP
MCP Configuration Guide
Step-by-step guide on how to configure the MCP server
Best Practices Video Tutorial
Video demonstration of the best usage methods of the MCP
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
336
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
317
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
105
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
609
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
548
5 points
C
Cloudflare
Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.
TypeScript
1.5K
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
250
4.8 points
Featured MCP Services
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
1.7K
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
823
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
79
4.3 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
130
4.5 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#
554
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
6.6K
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
5.2K
4.7 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
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIbase