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GitLab PR Analysis MCP Server

@CodeByWaqas

Repository

Basic information

Category

Version Control

License

MIT license

Transports

stdio

Author

CodeByWaqas

About GitLab PR Analysis MCP Server

No overview available yet

#gitlab#mcp-server#confluence-integration

GitLab PR Analysis MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MRConfluenceLinker-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

GitLab PR Analysis MCP Server tools

3

`project_id`: The GitLab project ID

`project_id`: The GitLab project ID

`project_id`: The GitLab project ID

Overview

What is GitLab PR Analysis MCP Server?

An MCP server that integrates GitLab merge request analysis with Confluence documentation. It fetches merge request details, analyzes code changes, and stores results in Confluence pages. Designed for developers and teams using GitLab who want automated code review summaries.

How to use GitLab PR Analysis MCP Server?

Install dependencies, create a virtual environment, and copy the .env.example file to .env with your GitLab token, project ID, and optional Confluence credentials. Start the server with python src/MRConfluenceLinker-mcp-server/server.py or configure it as an MCP server in Claude Desktop. The server listens for commands via stdin/stdout.

Key features of GitLab PR Analysis MCP Server?

  • Fetch details of a specific or all merge requests
  • Analyze code changes in a merge request
  • Store analysis results in Confluence
  • Generate reports with code change statistics and file type analysis
  • Comprehensive logging for debugging

Use cases of GitLab PR Analysis MCP Server?

  • Automate merge request summaries for code reviews
  • Document code changes in Confluence for team visibility
  • Track file‑type changes across multiple merge requests
  • Integrate GitLab analysis into an MCP‑aware assistant like Claude Desktop

Frequently asked questions

1

What credentials are required?

A GitLab personal access token with `api` scope and a GitLab project ID. For Confluence integration, provide a Confluence URL, username, API token, and space key.

2

What are the runtime dependencies?

Python 3.8 or higher, plus packages: `mcp[cli]`, `python-gitlab`, `python-dotenv`, `atlassian-python-api`, and `requests`.

3

Does the server handle errors?

Yes, it includes handling for missing environment variables, API authentication failures, network issues, invalid project/merge request IDs, and Confluence permission problems.

4

What tools does the server expose?

Three tools: `fetch_mr_details`, `analyze_code_changes`, and `store_in_confluence`. Each accepts a project ID and optional merge request ID.

5

Where are logs stored?

Logs are written to `mcp_server.log` and also output to stderr for debugging GitLab API access, Confluence integration, and code analysis.

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