๐ GitLab MR MCP
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
kopfrechner
README
๐ GitLab MR MCP
A Model Context Protocol (MCP) server for interacting with GitLab merge requests and issues.
๐ Overview
This project implements a server using the Model Context Protocol (MCP) that allows AI agents to interact with GitLab repositories. It provides tools for:
- Listing available GitLab projects
- Fetching merge request details and comments
- Getting merge request diffs
- Adding comments to merge requests
- Adding line-specific comments to code in merge request diffs
- Fetching issue details
๐ฆ Installation
โก Using Smithery
To install GitLab MR MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli@latest install @kopfrechner/gitlab-mr-mcp --client claude --config '"{\"gitlabMrMcpToken\":\"YOUR_GITLAB_TOKEN\"}"'
๐ ๏ธ Manual Installation
๐ง Prerequisites
- Node.js
- GitLab access token with API access
- GitLab project ID(s)
๐ Setup
- Clone this repository
- Install dependencies:
npm install
- Add the following to your MCP client configuration:
{
"mcpServers": {
"gitlab-mr-mcp": {
"command": "node",
"args": ["/path/to/gitlab-mr-mcp/index.js"]
}
"env": {
"MR_MCP_GITLAB_TOKEN": "your_gitlab_token"
}
}
}
๐ ๏ธ Available Tools
-
get_projects
Gets a list of GitLab projects accessible with your token. -
list_open_merge_requests
Lists all open merge requests in the specified project. -
get_merge_request_details
Gets detailed information about a specific merge request. -
get_merge_request_comments
Gets comments from a specific merge request, including discussion notes and diff notes. -
add_merge_request_comment
Adds a general comment to a merge request. -
add_merge_request_diff_comment
Adds a comment to a specific line in a file within a merge request. -
get_merge_request_diff
Gets the diff for a merge request. -
get_issue_details
Gets detailed information about a specific issue.
๐๏ธ Development
๐ Running Inspector
Set up environment variables:
export MR_MCP_GITLAB_TOKEN=your_gitlab_token
For use with MCP clients, you can run:
npx -y @modelcontextprotocol/inspector npm start
๐ ๏ธ Troubleshooting
If you encounter permissions issues (403 Forbidden), check:
- Your GitLab token has the proper scopes (api, read_api)
- The token user has proper access to the projects
- The project IDs are correct
๐ License
๐ค Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.