- mcp-gitlab MCP Server
mcp-gitlab MCP Server
Overview
what is mcp-gitlab MCP Server?
The mcp-gitlab MCP Server is a GitLab integration server built on the Model Context Protocol (MCP) framework, providing various GitLab RESTful API tools for integration with platforms like Claude and Smithery.
how to use mcp-gitlab MCP Server?
To use the mcp-gitlab MCP Server, install the dependencies, build the project, and start the server. Configure the environment variables for GitLab API URL and access token.
key features of mcp-gitlab MCP Server?
- GitlabSearchUserProjectsTool: Search for users and their active projects by username.
- GitlabGetUserTasksTool: Retrieve the current user's to-do tasks.
- GitlabSearchProjectDetailsTool: Search for project details.
- GitlabCreateMRCommentTool: Add comments to merge requests.
- GitlabAcceptMRTool: Accept and merge merge requests.
- GitlabUpdateMRTool: Update the assignee, reviewer, title, description, and labels of a merge request.
- GitlabCreateMRTool: Create new merge requests with assignee and reviewers.
- GitlabRawApiTool: Custom calls to any GitLab API.
use cases of mcp-gitlab MCP Server?
- Automating GitLab project management tasks.
- Integrating GitLab functionalities into other applications.
- Enhancing collaboration through automated merge request handling.
FAQ from mcp-gitlab MCP Server?
- What is the purpose of the mcp-gitlab MCP Server?
It serves as a bridge for integrating GitLab functionalities into various platforms using the MCP framework.
- Is there documentation available for the tools?
Yes, detailed usage examples can be found in the USAGE.md file.
- What programming language is used for this project?
The project is developed in TypeScript.
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Playwright McpPlaywright MCP server
Amap Maps高德地图官方 MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
WindsurfThe new purpose-built IDE to harness magic
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Serper MCP ServerA Serper MCP Server
DeepChatYour AI Partner on Desktop
ChatWiseThe second fastest AI chatbot™
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
CursorThe AI Code Editor
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Tavily Mcp
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.