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Why this server?
This server helps analyze GitLab merge requests and store the analysis in Confluence, useful for documenting code changes.
Why this server?
This server allows integration with GitHub Enterprise API, allowing access to repository information, manage issues, pull requests, workflows, and other GitHub features through Cursor.
Why this server?
A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.
Why this server?
A mcp that helps to manage codecommit.
Why this server?
An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.
Why this server?
ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.
Why this server?
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
Why this server?
MCP Server for the GitLab API, enabling project management, file operations, and more.
Why this server?
An MCP server that wraps the Azure CLI, allowing LLMs to list resources, update/create/delete them, fix errors, and address security issues using Azure CLI commands.
Why this server?
This server is based on the original GitLab MCP server with Group Projects Listing and Activity Tracking enhancements.