"gitlab" matching MCP servers:

Harness-neutral MCP server enabling GitLab repository workflows—merge requests, CI diagnosis, publishing, and variable management—through shared Agent Skills for Codex, Claude Code, Cline, Pi, and ChatGPT.

A production-ready MCP server for GitLab enabling AI assistants to read and manage GitLab projects, merge requests, issues, pipelines, wikis, releases, and more through a unified interface.

MCP server for interacting with GitLab API, supporting dynamic tool selection and enterprise-grade security.

A comprehensive GitLab MCP server that enables AI clients to manage projects, merge requests, issues, pipelines, wiki, releases, tags, and milestones through multiple transports and authentication methods.

MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.

Exposes the GitLab REST API to MCP clients for managing projects, issues, merge requests, repositories, and CI/CD pipelines. It is multi-tenant, allowing each user to authenticate with their own token and instance URL.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

Enables interaction with GitLab projects, merge requests, issues, and code reviews through Claude AI, providing tools for code review and project management.

An MCP server for issue-driven GitLab development, automating requirement analysis, issue creation, branching, coding, merge requests, and issue updates.

Enables AI-powered exploration and interaction with GitLab instances through comprehensive search, code browsing, and repository management. Supports both self-hosted and GitLab.com with flexible authentication for read and write operations.

Enables users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.

Enables AI coding assistants, agents, and pair programmers to read, write, and orchestrate GitLab SaaS or self-hosted instances through 218 tools spanning merge requests, issues, pipelines, runners, repositories, and more, with configurable safety tiers and multiple transport modes.

Enables AI clients to manage GitLab projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and repository operations via MCP over stdio, SSE, and Streamable HTTP. Supports personal access token and OAuth authentication plus read-only and modify permission modes.

Enables querying GitLab projects, pipelines, and jobs, and triggering manual deployment jobs after user confirmation, with secure token handling and scope restrictions.

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

Enables AI assistants to review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.

GitLabとの連携機能を提供するModel Context Protocol (MCP) サーバーです。GitLabの特定のプロジェクトからパイプラインの失敗情報やマージリクエストへの指摘事項を取得し、AIアシスタントに提供します。

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil