Developer Tools

Model Context Protocol (MCP) server for SonarQube

AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into AI‑friendly context, integrates via CLI or MCP, supports 12+ languages, and AI prompt workflows for cleaner, cost‑effective AI development.

MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.

A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.

This is an implementation project of a JVM-based MCP (Model Context Protocol) server. The project aims to provide a standardized MCP server implementation for the JVM platform, enabling AI models to better interact with the Java ecosystem.

MCP for semantic code search & navigation that reduces token waste

council of models for decision

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

OpenAPI specification MCP server.