About MCP Testing
MCP Testing is a sandbox repository for exploring and validating MCP server tools and functionality. It includes Git and GitHub MCP server capabilities for repository operations, issues, pull requests, and files.
Key features
- 01Test MCP server tools
- 02Validate GitHub integration
- 03Stage, commit, and push Git changes
- 04Inspect repository status, diffs, and logs
- 05Manage GitHub repositories and issues
- 06Handle pull requests and files
Use cases
- 01Validate MCP tool behavior in a sandbox
- 02Test Git operations through MCP
- 03Explore GitHub repository and issue workflows
MCP support
Includes Git and GitHub MCP server functionality, exposing repository operations and GitHub API interactions such as issue and pull request handling.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Testing
This repository is used for testing MCP Server tools and functionality. It serves as a sandbox environment for exploring and validating various MCP-related features and capabilities.
Purpose
- Test MCP Server tools
- Validate GitHub integration
- Explore MCP functionality
- Test Git attribution
Features
Git MCP Server
The Git MCP server provides a convenient interface for Git operations through the Model Context Protocol. It supports common Git operations like:
- Adding files to staging
- Committing changes
- Pushing to remote repositories
- Checking repository status
- Viewing diffs and logs
GitHub MCP Server
The GitHub MCP server extends functionality to interact directly with GitHub's API, enabling:
- Repository creation and management
- Issue tracking
- Pull request handling
- File operations through the GitHub API
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.