MCP Source Tree Server

Analyzes source code dependencies across multiple languages by parsing import statements and path aliases to provide structured JSON outputs for efficient project context understanding via Model Context Protocol integration.

Provides Model Context Protocol integration with GitLab to fetch pipeline failure logs, unresolved merge request comments, and local repository diffs, enabling AI assistants to deliver precise code review and troubleshooting support.

Build and manage structured AI assistant documentation with Model Context Protocol support for Memory Bank patterns, featuring detailed structure insights, template generation, and project analysis to enhance context preservation.

Provides advanced code analysis and documentation tools via Model Context Protocol, including multi-language code collection, project structure reporting with complexity metrics, customizable ignore patterns, and seamless integration for efficient project insights.

Node.js-based Model Context Protocol server for managing decision trees from .rtdq files and handling to-do lists with Redis storage, featuring asynchronous parsing, HTTP SSE communication, and standard MCP tool integration.