How do I install and configure MRConfluenceLinker?

Clone the repository, create a virtual environment, install the dependencies using pip or uv, and configure the .env file with your GitLab and Confluence credentials. Refer to the README for detailed instructions.

What is MRConfluenceLinker?

MRConfluenceLinker is a tool that integrates GitLab merge request analysis with Confluence documentation. It fetches merge request details, analyzes code changes, and stores the results in Confluence pages.

What prerequisites are required to use MRConfluenceLinker?

You need Python 3.8 or higher, a GitLab account with API access, and optionally a Confluence account if you want to store analysis results there. Access to the relevant GitLab project(s) is also required.

What kind of analysis can MRConfluenceLinker perform?

MRConfluenceLinker can perform code change statistics, file type analysis, and detailed file changes analysis on GitLab merge requests.

MRConfluenceLinker

Name: MRConfluenceLinker
Author: CodeByWaqas

byCodeByWaqas

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Developer Tools

Learning & Documentation

Collaboration Tools

Integrates GitLab merge request analysis with Confluence documentation via an MCP server.

MRConfluenceLinker

byCodeByWaqas

0•

Developer Tools

Learning & Documentation

Collaboration Tools

Integrates GitLab merge request analysis with Confluence documentation via an MCP server.

MRConfluenceLinker provides an MCP server that streamlines the connection between GitLab merge request analysis and Confluence documentation. It fetches merge request details, analyzes code changes, and stores the results in Confluence pages, providing a comprehensive solution for documenting and tracking development efforts. By automating the reporting process, it ensures that Confluence documentation remains up-to-date with the latest code changes and project statuses.

Key Features

01Fetches merge request details from GitLab

02Generates detailed reports including code change statistics and file type analysis

03Provides comprehensive logging for debugging

04Analyzes code changes in merge requests

05Stores analysis results in Confluence

Use Cases

01Analyzing code changes and storing results in Confluence for better tracking

02Automating documentation updates for GitLab merge requests

03Providing a comprehensive report of code changes for auditing purposes