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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 ...

Introduction Building the Sekora GitLab MCP server was an ambitious project - creating 71 specialized tools to provide comprehensive GitLab integration for AI assistants. This post documents our development journey, the challenges we faced, and how Claude Code proved to be an invaluable development partner throughout the process. Project Scope and Planning The Challenge Creating a comprehensive MCP server that covers GitLab’s extensive API surface area required: 71 distinct tools across multiple functional areas Type-safe TypeScript implementation Robust error handling for network and API failures Comprehensive testing for reliability Clear documentation for adoption Initial Architecture Decisions We made several key architectural decisions early in the project: ...

Introduction Meet Sekora Document Search MCP - our specialized server that brings intelligent document search capabilities to AI assistants. Built with TypeScript and designed for extensibility, this MCP server enables seamless document discovery and content retrieval across multiple sources. 📦 Available on NPM: @sekora/document-search-mcp What is Document Search MCP? The Sekora Document Search MCP is a TypeScript-based server that connects AI assistants to your document repositories. Currently featuring robust Google Drive integration, it’s architected to support multiple document sources as we expand the platform. ...