What GitLab API token permissions are required?
A token with the `read_api` scope is needed.
@owayo
基本情報
概要はまだありません
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-mcp-server-owayo": {
"command": "uv",
"args": [
"sync"
]
}
}
}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。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
GitLab-MCP-Server is a Model Context Protocol (MCP) server that integrates with GitLab to fetch pipeline failure details, unresolved merge request review comments, and MR changes from a specific project. It provides this data to AI assistants (e.g., Claude) so they can help diagnose issues, address review feedback, and review code changes.
Install via uv (uv sync), obtain a GitLab API token with read_api scope, and set the environment variables GITLAB_URL, GITLAB_PROJECT_NAME, GITLAB_API_KEY, and GIT_REPO_PATH. Add the server configuration to Claude for Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json) using the uv command and main.py script.
A token with the `read_api` scope is needed.
Three tools: `get_pipeline_failed_jobs()`, `get_review_comments()`, and `get_review_changes()`.
Add an entry in `claude_desktop_config.json` with `uv` as the command, the server directory, `main.py`, and the required environment variables.
`GITLAB_URL`, `GITLAB_PROJECT_NAME`, `GITLAB_API_KEY`, and `GIT_REPO_PATH`.
Yes, by adding a configuration in `.cursor/mcp.json` that passes the environment variables as arguments to the command.
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from https://github.com/nguyenvanduocit/all-in-one-model-context-protocol
GitHub's official MCP Server
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
MCP servers for the Atlassian products (Bitbucket, Confluence, JIRA) of the Data Center version
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
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