@kopfrechner
基本情報
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
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": {
"gitlab-mr-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"install",
"@kopfrechner/gitlab-mr-mcp",
"--client",
"claude",
"--config",
"\"{\"gitlabMrMcpToken\":\"YOUR_GITLAB_TOKEN\", \"gitlabMrMcpHost\": \"YOUR_GITLAB_HOST\"}\""
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
🚀 GitLab MR MCP is a Model Context Protocol (MCP) server that enables AI agents to interact with GitLab repositories. It provides tools for reading and modifying merge requests and issues, making it useful for developers and automation workflows that need AI-assisted code review and project management.
Install via Smithery (npx @smithery/cli install @kopfrechner/gitlab-mr-mcp) or manually by cloning the repository and adding the server configuration to your MCP client. The server requires environment variables MR_MCP_GITLAB_TOKEN and MR_MCP_GITLAB_HOST to authenticate with your GitLab instance. Optional variables MR_MCP_MIN_ACCESS_LEVEL and MR_MCP_PROJECT_SEARCH_TERM can filter accessible projects.
It allows AI agents to list, read, comment on, and modify GitLab merge requests and issues using the Model Context Protocol. It covers tasks like viewing diffs, adding line-specific comments, and changing titles or descriptions.
Node.js, a GitLab personal access token with `api` or `read_api` scope, and the host URL of your GitLab instance. You also need the project ID(s) you wish to access.
You can install via Smithery or manually. For manual setup, clone the repository, run `npm install`, then add the server to your MCP client configuration with `command: "node"`, `args: ["/path/to/index.js"]`, and environment variables `MR_MCP_GITLAB_TOKEN` and `MR_MCP_GITLAB_HOST`.
Ensure your GitLab token has the required scopes (`api`, `read_api`), the token’s user has the correct access level to the projects, and the project IDs are accurate.
The server provides tools such as `get_projects`, `list_open_merge_requests`, `get_merge_request_details`, `get_merge_request_comments`, `add_merge_request_comment`, `add_merge_request_diff_comment`, `get_merge_request_diff`, `get_issue_details`, `set_merge_request_title`, and `set_merge_request_description`.
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
Model Context Protocol Servers
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