apc-mcp is a Model Context Protocol server that brings audio plugin development workflows into any MCP-compatible client by wrapping CMake, ctest, clang-format, pluginval, and clap-validator into a clean tool interface for building, testing, linting, validating, and scaffolding JUCE, CLAP, VST3, and ARA plugin projects.
An MCP server that enables AI assistants to parse Xcode and Swift build outputs into structured, token-efficient formats like JSON or TOON. It provides tools for executing build commands and extracting detailed diagnostic information such as errors, warnings, and test failures.
A production-ready MCP server that enables AI assistants to intelligently understand, analyze, edit, navigate, and review software projects with multi-workspace support, Git integration, and semantic search.
A comprehensive Model Context Protocol (MCP) server for Arduino CLI interactions, built with FastMCP. This server enables AI agents to seamlessly interact with Arduino CLI for development, debugging, code verification, and more.
An MCP server for intelligent Linux kernel configuration management and building. Enables AI assistants to generate, manage, and optimize kernel configurations and build kernels with comprehensive error detection.
Local MCP server providing project cognition capabilities for AI coding agents, including context packs, impact analysis, and git diff review through stdio communication.
