GitLab PR Analysis MCP Server

Name: GitLab PR Analysis MCP Server
Author: CodeByWaqas

@CodeByWaqas

リポジトリ

GitLab PR Analysis MCP Server について

概要はまだありません

#gitlab #mcp-server #confluence-integration

基本情報

カテゴリ

バージョン管理

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

CodeByWaqas

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

`project_id`: The GitLab project ID

概要

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

FAQ from GitLab PR Analysis MCP Server

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.

What are the runtime dependencies?

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

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.

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.

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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