An AI-powered development assistant that enables LLMs to securely interact with local development tools including Git, filesystem, Docker, PostgreSQL, and GitHub via the Model Context Protocol.
A Model Context Protocol server that provides development standards and best practices context to AI coding assistants, ensuring generated code adheres to team/project conventions.
A semantic code context server that connects your local repository to AI assistants via the Model Context Protocol, enabling dynamic codebase exploration without copy-pasting.
Integrates an autonomous AI engineering agent into your editor via the Model Context Protocol, allowing you to describe AI/ML tasks in plain English and execute them locally.
A Model Context Protocol server that allows LLMs to interact with Python environments, enabling code execution, file operations, package management, and development workflows.
A local-first MCP server and continuity control plane that helps AI coding tools maintain project state, tasks, and context across sessions, models, and interruptions, with features like session tracking, token-efficient context assembly, and code understanding via Code Atlas.