gitlab-mcp-connector

name	gitlab-mcp-connector
description	MCP connector for GitLab – enables AI-powered repository management, CI/CD pipeline operations, and code review through Claude
license	MIT
tags	["dev","git","mcp","gitlab","devops"]
difficulty	intermediate
time_to_master	4-8 weeks
version	1.0.0

Gitlab MCP Connector

Overview

This skill enables Claude to interact with Gitlab through the Model Context Protocol (MCP). It provides a bridge between Claude's AI capabilities and Gitlab's REST/GraphQL API, allowing natural language control of Gitlab operations, intelligent automation, and AI-powered assistance for Gitlab workflows.

When to Use This Skill

• Merge request creation and review via AI
• CI/CD pipeline configuration and debugging
• Issue and milestone management
• Repository and branch management
• Wiki and snippet management

Architecture

┌─────────────┐     ┌─────────────────┐     ┌──────────────────┐
│   Claude     │────▶│   MCP Server    │────▶│   Gitlab           │
│   (Client)   │◀────│   (TypeScript)  │◀────│   (REST/GraphQL A)│
└─────────────┘     └─────────────────┘     └──────────────────┘

Core Concepts

MCP Server Setup

The connector implements an MCP server that exposes Gitlab operations as tools Claude can invoke. The server translates natural language intentions into REST/GraphQL API calls.

Key Endpoints/Interfaces

/api/v4/projects, /api/v4/projects/:id/merge_requests, /api/v4/projects/:id/pipelines, /api/v4/projects/:id/issues

Implementation

// Gitlab MCP Server Implementation
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

const server = new McpServer({
  name: "gitlab-mcp-connector",
  version: "1.0.0",
});

// Tool: List/Query Resources
server.tool(
  "list_resources",
  "List and query Gitlab resources with optional filters",
  {
    query: z.string().optional().describe("Search query or filter"),
    limit: z.number().optional().describe("Max results to return"),
  },
  async ({ query, limit }) => {
    // Call Gitlab REST/GraphQL API
    const response = await fetch(`${BASE_URL}/api/v4/projects`, {
      headers: { "Authorization": `Bearer ${API_KEY}` },
    });
    const data = await response.json();
    return {
      : [{ : , : .(data, , ) }],
    };
  }
);


server.(
  ,
  ,
  {
    : z.().(),
    : z.({}).().().(),
  },
   ({ name, config }) => {
     response =  (, {
      : ,
      : {
        : ,
        : ,
      },
      : .({ name, ...config }),
    });
     data =  response.();
     {
      : [{ : , :  }],
    };
  }
);


server.(
  ,
  ,
  {
    : z.().(),
    : z.().().(),
  },
   ({ , timeframe }) => {
    
     response =  (, {
      : { :  },
    });
     data =  response.();
     {
      : [{ : , : .(data, , ) }],
    };
  }
);


 transport =  ();
 server.(transport);

Claude Desktop Configuration

{
  "mcpServers": {
    "gitlab-mcp-connector": {
      "command": "node",
      "args": ["path/to/gitlab-mcp-connector/index.js"],
      "env": {
        "GITLAB_API_KEY": "your-api-key",
        "GITLAB_BASE_URL": "https://your-instance-url"
      }
    }
  }
}

Best Practices

1. Authentication: Store API keys securely using environment variables; never hardcode credentials
2. Rate Limiting: Implement request throttling to respect Gitlab API rate limits
3. Error Handling: Provide clear, actionable error messages for common failure scenarios
4. Pagination: Handle paginated responses for large datasets efficiently
5. Caching: Cache frequently accessed read-only data to reduce API calls
6. Security: Validate all inputs before passing to the Gitlab API; sanitize outputs
7. Logging: Log all API interactions for debugging and audit purposes

Example Prompts

"Create a merge request from the feature branch, add reviewers, and summarize all pipeline failures"

Security Considerations

• All API credentials must be stored as environment variables
• Implement input validation and sanitization for all tool parameters
• Use HTTPS for all API communications
• Follow the principle of least privilege for API token permissions
• Audit log all write operations for compliance tracking

Resources

• Gitlab Official Documentation
• MCP SDK Documentation: https://modelcontextprotocol.io
• MCP Server Examples: https://github.com/modelcontextprotocol/servers
• SkillGalaxy Repository: https://github.com/Sandeeprdy1729/skill_galaxy

Changelog

Version	Date	Changes
1.0.0	2026-04-01	Initial MCP connector skill

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