Sekora GitLab MCP: Complete GitLab Integration for AI Assistants

Introduction

Sekora GitLab MCP represents the most comprehensive GitLab integration available for AI assistants. Built with the Model Context Protocol (MCP), this project delivers 75 specialized tools covering every aspect of GitLab project management - from issue creation to deployment monitoring, security scanning, and team collaboration.

🎉 100% Complete - All planned features implemented and tested
📦 Multi-Platform Ready - Claude Desktop, Claude Code, AWS Lambda, and web clients
🚀 Production Deployment - Full CI/CD pipeline with automated AWS Lambda deployment

📦 Available on NPM: @sekora/gitlab-mcp

What Makes This Special?

🎯 Complete GitLab Coverage (75 Tools)

Unlike other integrations that focus on specific workflows, Sekora GitLab MCP provides end-to-end GitLab management through AI assistants:

🔧 Issue Management (8 tools) - Complete issue lifecycle with milestone and label management
🚀 CI/CD Operations (17 tools) - Pipeline monitoring, job management, and execution control
🔀 Code Review (8 tools) - Merge request lifecycle from creation to merge
📂 Repository Operations (8 tools) - File management, branch operations, and release management
🏢 Project Administration (6 tools) - Member management, settings, and integrations
🔒 Security Analysis (6 tools) - Vulnerability scanning and compliance monitoring
🌍 Deployment Management (7 tools) - Environment monitoring and GitLab Pages
📈 Analytics & Insights (4 tools) - Project metrics and team performance
👥 Team Collaboration (4 tools) - Discussions, wiki, and knowledge sharing
📊 Advanced Monitoring (6 tools) - Cross-project dashboards and analytics

⚡ Multiple Deployment Options

Local Development:

npx @sekora/gitlab-mcp

AWS Lambda (Serverless):

cd infra && ./deploy.sh

Claude Desktop Integration:

{
  "mcpServers": {
    "gitlab-mcp": {
      "command": "npx",
      "args": ["@sekora/gitlab-mcp"],
      "env": { "GITLAB_TOKEN": "your-token" }
    }
  }
}

Multi-Instance Support: Configure multiple GitLab instances simultaneously for personal, work, and client environments.

🏗️ Enterprise-Grade Architecture

Built with modern TypeScript and production-ready practices:

Type-Safe Operations - Full TypeScript coverage with comprehensive interfaces
Robust Error Handling - Graceful failures with actionable error messages
Security-First Design - Server-level authentication and token masking
Comprehensive Testing - Automated CI/CD with security scanning
Scalable Infrastructure - AWS Lambda deployment with Terraform IaC

Recent Major Achievements

AWS Lambda Deployment (Latest)

☁️ Serverless Architecture - Pay-per-use scaling with AWS Lambda
🏗️ Infrastructure as Code - Complete Terraform automation
🚀 CI/CD Integration - Automated deployment pipeline with GitLab
📊 Health Monitoring - Built-in status endpoints and connectivity validation
🌐 Function URLs - Direct HTTPS access for web clients

Security & Quality Analysis

🔒 Multi-Tier Security Grading (A+ to F) with visual indicators
🛡️ Comprehensive Vulnerability Analysis - SAST, dependency, container scanning
📊 Technical Debt Estimation - Code quality metrics with remediation guidance
🏛️ License Compliance - Policy integration and risk assessment

Advanced Monitoring & Analytics

📈 Pipeline Success Rate Analysis - Trend tracking with failure insights
⏱️ Performance Duration Analysis - Optimization recommendations
🎯 Cross-Project Dashboards - Group-level monitoring and alerts
📊 Test Coverage Trends - Quality metrics with historical analysis

Real-World Impact

For Development Teams

Streamlined Code Reviews - AI-assisted merge request management
Automated Pipeline Monitoring - Proactive failure detection and resolution
Enhanced Security Posture - Continuous vulnerability monitoring
Efficient Issue Management - Intelligent project tracking and organization

For DevOps Engineers

Infrastructure Monitoring - Environment health and deployment tracking
Performance Optimization - Pipeline analytics and bottleneck identification
Security Compliance - Automated scanning and compliance reporting
Multi-Project Oversight - Group-level monitoring and coordination

For Project Managers

Team Performance Insights - Contributor analytics and productivity metrics
Project Health Monitoring - Comprehensive dashboards and trend analysis
Resource Optimization - Usage metrics and cost analysis
Release Management - Milestone tracking and delivery coordination

Technical Architecture

MCP Framework Foundation

Built on the MCP Framework, providing:

Auto-Discovery - Automatic tool registration and schema validation
Transport Flexibility - STDIO, SSE, and Lambda deployment options
Type Safety - Full TypeScript integration with Zod validation
Extensibility - Easy addition of new tools and features

GitLab API Integration

Complete API v4 Coverage - All major GitLab endpoints supported
Edition Compatibility - Graceful handling of CE vs Premium/Ultimate features
Rate Limiting Respect - Built-in throttling and retry mechanisms
Comprehensive Authentication - Token-based with multi-instance support

Production-Ready Deployment

AWS Lambda Support - Serverless scaling with Function URLs
Terraform Infrastructure - Automated resource provisioning
GitLab CI/CD - Complete deployment automation
Health Monitoring - Built-in status checks and diagnostics

Getting Started

Quick Installation

# Install globally
npm install -g @sekora/gitlab-mcp

# Or run directly
npx @sekora/gitlab-mcp

GitLab Token Setup

Visit GitLab → Profile → Access Tokens
Create token with api and read_user scopes
Set GITLAB_TOKEN environment variable

Claude Desktop Configuration

Add to your MCP configuration:

{
  "mcpServers": {
    "gitlab-mcp": {
      "command": "npx",
      "args": ["@sekora/gitlab-mcp"],
      "env": {
        "GITLAB_TOKEN": "your-private-token"
      }
    }
  }
}

Development Milestones

🎯 Version 1.1.0 (Current)

✅ Complete Tool Suite - All 75 planned tools implemented
✅ AWS Lambda Deployment - Serverless infrastructure with Terraform
✅ CI/CD Automation - Complete GitLab pipeline with security scanning
✅ Multi-Transport Support - STDIO, SSE, and Lambda deployment options

🚀 Previous Achievements

Version 1.0.2 - Security enhancements and MCP introspection
Version 1.0.0 - Initial production release with core tool suite
Development Journey - From concept to complete GitLab integration

What’s Next?

With the 100% completion of our GitLab tool roadmap, we’re exploring exciting new directions:

Future Enhancements

Performance Optimizations - Enhanced caching and response times
Extended Analytics - Advanced AI-powered insights and recommendations
Integration Ecosystem - Additional MCP servers for complete DevOps coverage
Enterprise Features - Advanced security and compliance capabilities

Community & Ecosystem

Open Source Community - Contributing guidelines and developer tools
Integration Examples - Best practices and workflow templates
Documentation Expansion - Video tutorials and use case guides
MCP Framework Contributions - Enhancing the broader MCP ecosystem

Project Impact

This project represents a significant milestone in AI-assisted development workflows:

🔥 Most Comprehensive - 75 tools covering every GitLab operation
🏗️ Production-Ready - Enterprise deployment with AWS Lambda
🎯 Developer-Focused - Built by developers for real-world workflows
🚀 Innovation Leader - Pushing the boundaries of AI-development integration

Repository & Community

Source Code: GitLab Repository
NPM Package: @sekora/gitlab-mcp
Documentation: Complete guides and examples in the repository

Conclusion

Sekora GitLab MCP transforms how development teams interact with GitLab through AI assistants. Whether you’re monitoring pipelines, reviewing code, managing issues, or deploying applications, this comprehensive toolkit makes it possible through natural language conversations with Claude.

From individual developers to enterprise teams, from local development to serverless deployment, Sekora GitLab MCP provides the foundation for AI-enhanced GitLab workflows that scale with your needs.

Ready to revolutionize your GitLab workflow? Start with npx @sekora/gitlab-mcp and experience the future of AI-assisted development.

Join the conversation and contribute to the future of AI-assisted development workflows. Visit our GitLab repository to get involved!

Introduction#

What Makes This Special?#

🎯 Complete GitLab Coverage (75 Tools)#

⚡ Multiple Deployment Options#

🏗️ Enterprise-Grade Architecture#

Recent Major Achievements#

AWS Lambda Deployment (Latest)#

Security & Quality Analysis#

Advanced Monitoring & Analytics#

Real-World Impact#

For Development Teams#

For DevOps Engineers#

For Project Managers#

Technical Architecture#

MCP Framework Foundation#

GitLab API Integration#

Production-Ready Deployment#

Getting Started#

Quick Installation#

GitLab Token Setup#

Claude Desktop Configuration#

Development Milestones#

🎯 Version 1.1.0 (Current)#

🚀 Previous Achievements#

What’s Next?#

Future Enhancements#

Community & Ecosystem#

Project Impact#

Repository & Community#

Conclusion#