The Model Context Protocol (MCP) Server collection is a suite of dedicated servers that enhance AI interactions by providing rich contextual data from various enterprise and development tools. Originally conceived as a single all-in-one solution, this project has evolved into specialized implementations for different services:

• Confluence MCP: Integrates with Atlassian Confluence for documentation and knowledge management
• Jira MCP: Enables AI assistants to interact with Atlassian Jira for issue tracking and project management
• GitLab MCP: Provides GitLab integration for repository management, merge requests, and pipeline monitoring
• GitHub MCP: Enables interaction with GitHub repositories and workflows
• Script MCP: Offers script execution capabilities for automation and development workflows
• Google Kit: Integrates with Gmail and Google Calendar for email management and scheduling
• Fetch Kit: Provides web search and content fetching capabilities
• Research Kit: Offers knowledge management with RAG (Retrieval-Augmented Generation) capabilities

Each server is built in Go and designed to be easily configurable through environment variables, making them ideal for both personal and enterprise use cases. They support AI-powered search capabilities and can be integrated with various AI models to provide enhanced context-aware responses.