GitLab MR MCP is an MCP server designed to enable AI agents to interact directly with GitLab repositories. It provides a suite of tools for managing merge requests and issues, bridging the gap between AI models and your codebase. Key functionalities include fetching merge request details, retrieving diffs, adding comments (both general and line-specific), and listing available projects.

This server empowers AI models to participate in code review, automate issue management, and gain a deeper understanding of your project's evolution. By providing access to GitLab's collaborative features, GitLab MR MCP streamlines development workflows and enhances the capabilities of AI-powered development tools. Installation is straightforward, with options for both automated setup via Smithery and manual configuration, ensuring seamless integration into your existing MCP ecosystem. It utilizes standard HTTP/SSE for communication, ensuring compatibility with a wide range of MCP clients.

MR Details and Comments Retrieval

The gitlab-mr-mcp server provides the ability to fetch comprehensive details about GitLab merge requests, including associated comments. This functionality is achieved through the get_merge_request_details and get_merge_request_comments tools. The get_merge_request_details tool retrieves information such as the merge request's title, description, status, author, and assignees. The get_merge_request_comments tool fetches all comments, including both general discussion notes and line-specific diff notes, providing a complete view of the conversation surrounding the merge request. This allows AI models to understand the context of the code changes, identify potential issues raised in the comments, and track the progress of the review process. For example, an AI agent could use this information to summarize the key points of a merge request discussion or identify unresolved issues that need attention. This feature leverages the GitLab API to retrieve the necessary data and formats it for consumption by the AI model.

Contextual Code Commenting

A key feature of gitlab-mr-mcp is its ability to add comments directly to specific lines of code within a merge request diff using the add_merge_request_diff_comment tool. This allows AI agents to provide highly targeted feedback on code changes, improving the efficiency and accuracy of code reviews. Instead of leaving general comments that may be ambiguous, the AI can pinpoint the exact line of code it's referring to, making it easier for developers to understand and address the feedback. For instance, an AI-powered code analysis tool could automatically identify potential bugs or style violations and add comments directly to the relevant lines of code in a merge request. This feature enhances the collaboration between AI and human developers, leading to higher quality code and faster development cycles. The implementation involves using the GitLab API to create diff notes associated with specific lines in the merge request.

Project and MR Discovery

The gitlab-mr-mcp server facilitates the discovery of GitLab projects and merge requests through the get_projects and list_open_merge_requests tools. The get_projects tool allows an AI agent to retrieve a list of all GitLab projects accessible with the provided token, enabling it to explore and interact with different repositories. The list_open_merge_requests tool then allows the AI to identify all open merge requests within a specified project. This is particularly useful for AI agents that need to monitor multiple projects or prioritize their work based on the number of open merge requests. For example, an AI-powered project management tool could use these tools to track the workload of developers and identify projects that are at risk of falling behind schedule. This feature simplifies the process of navigating the GitLab ecosystem and allows AI agents to focus on the most relevant tasks. The server uses the GitLab API to query and filter projects and merge requests based on the user's access and specified criteria.