MCPFast / Tools / Conduit: Local gateway for all your MCP servers and AI coding tools
Conduit unifies local access to your MCP servers and AI coding tools (Claude, Cursor, VS Code, Codex), using OS keychain for keys, without Docker or cloud.
View on GitHub→Conduit is a command-line tool designed to streamline local development workflows for AI builders. It provides a unified gateway to access your Machine Learning Operations (MLOps) servers and AI coding assistants directly from your local machine. By centralizing these resources, Conduit simplifies setup and management, allowing developers to focus on building and iterating without the complexities of distributed environments or cloud dependencies.
Conduit acts as a local proxy, enabling seamless interaction with your various AI coding tools and MLOps servers. It eliminates the need for complex configurations or Docker setups for many common AI development tasks. The tool leverages your operating system's secure keychain to manage API keys and credentials, ensuring sensitive information is stored securely and is readily available to the integrated tools. This approach simplifies the process of connecting to services like Claude, Cursor, and even local instances of code generation models, all through a single, consistent interface.
Conduit is an essential tool for AI developers, machine learning engineers, and anyone involved in building AI-powered applications. If you frequently use AI coding assistants like Claude or Cursor, work with VS Code for AI development, or manage local MLOps servers, Conduit can significantly simplify your workflow. Developers who prefer local development environments, want to avoid complex cloud setups, and prioritize secure credential management will find Conduit particularly beneficial. It's designed for those who need efficient, direct access to their AI development resources without unnecessary complexity.