Git▌
by kjozsa
Create a local git repo easily with Git MCP: manage repositories, handle tags, and refresh repos without shell access.
Provides Git operations for local repositories, enabling repository management, tag handling, and repository refreshing without direct shell access.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers managing multiple local Git repositories
- / Release management and versioning workflows
- / Code review and commit tracking
capabilities
- / List Git repositories in configured directory
- / Get the most recent Git tag from repositories
- / View commit history since last tag
- / Create new Git tags with optional messages
what it does
Manages Git repositories through MCP operations like listing repos, handling tags, and viewing commit history without requiring direct shell access.
about
Git is a community-built MCP server published by kjozsa that provides AI assistants with tools and capabilities via the Model Context Protocol. Create a local git repo easily with Git MCP: manage repositories, handle tags, and refresh repos without shell access. It is categorized under developer tools.
how to install
You can install Git 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
Git is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Git MCP
MCP server for managing Git operations on local repositories.
Installation
Installing via Smithery
To install Git MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kjozsa/git-mcp --client claude
Installing Manually
uvx install git-mcp
Configuration
Add the MCP server using the following JSON configuration snippet:
{
"mcpServers": {
"git-mcp": {
"command": "uvx",
"args": ["git-mcp"],
"env": {
"GIT_REPOS_PATH": "/path/to/your/git/repositories"
}
}
}
}
Features and Usage
Environment Variables
GIT_REPOS_PATH: Path to the directory containing your Git repositories (required)
You can set this in your environment or create a .env file in the directory where you run the server.
Available Methods
list_repositories
Lists all Git repositories in the configured path.
- Parameters: None
- Returns: List of repository names
get_last_git_tag
Finds the last Git tag in the specified repository.
- Parameters:
repo_name(Name of the Git repository) - Returns: Dictionary with
version(tag name) anddate(tag creation date)
list_commits_since_last_tag
Lists commit messages between the last Git tag and HEAD.
- Parameters:
repo_name: Name of the Git repositorymax_count(optional): Maximum number of commits to return
- Returns: List of dictionaries with
hash,author,date, andmessage
create_git_tag
Creates a new git tag in the specified repository.
- Parameters:
repo_name: Name of the git repositorytag_name: Name of the tag to createmessage(optional): Message for annotated tag (if not provided, creates a lightweight tag)
- Returns: Dictionary with
status,version(tag name),date(tag creation date), andtype(annotated or lightweight)
push_git_tag
Pushes an existing git tag to the default remote repository.
- Parameters:
repo_name: Name of the git repositorytag_name: Name of the tag to push
- Returns: Dictionary with
status,remote(name of the remote),tag(name of the tag), andmessage(success message)
refresh_repository
Refreshes a repository by checking out the main branch (or master as fallback) and pulling from all remotes.
- Parameters:
repo_name: Name of the git repository
- Returns: Dictionary with
status,repository,branch, andpull_results(results for each remote)
Troubleshooting
- Repository Not Found: Ensure
GIT_REPOS_PATHis set correctly and the repository exists - No Tags Found: The repository doesn't have any tags yet
Development
# Install dependencies
uv pip install -r requirements.txt
# Run in dev mode with Inspector
mcp dev git_mcp/server.py
Testing
The project includes two test scripts:
test_git_mcp.py- Tests the underlying Git command functionality directly, without using the MCP server.test_mcp_server.py- Tests the MCP server functionality by starting a server instance and making calls to it.
To run the tests:
# Test the Git command functionality
python test_git_mcp.py
# Test the MCP server (requires the git-mcp package to be installed)
python test_mcp_server.py
FAQ
- What is the Git MCP server?
- Git 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 Git?
- This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.7★★★★★40 reviews- ★★★★★Jin Khan· Dec 12, 2024
We wired Git into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Min Menon· Dec 8, 2024
Git is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Xiao Diallo· Dec 8, 2024
Useful MCP listing: Git is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Shikha Mishra· Dec 4, 2024
Strong directory entry: Git surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Min Bansal· Nov 27, 2024
Git is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yash Thakker· Nov 23, 2024
Git has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Nov 3, 2024
Useful MCP listing: Git is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Yuki Zhang· Nov 3, 2024
We evaluated Git against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Oct 22, 2024
Git reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Rahman· Oct 22, 2024
Git is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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