MCP Bridge

What is MCP Bridge?

MCP Bridge is a tool that allows cloud-based AI services to connect to and use local Stdio-based Model Context Protocol (MCP) servers. It bridges cloud applications and local resources.

How to use MCP Bridge?

To use it, clone its GitHub repository. Then, set your environment variables, install the dependencies, and run the bridge. You can choose to run it with or without a tunnel depending on your local network setup.

Key features of MCP Bridge?

Cloud Integration: Connects cloud AI services to local MCP servers. Protocol Translation: Translates HTTP/HTTPS requests to Stdio communication. Security: Provides secure access to local resources. Flexibility: Works with various existing MCP servers. Easy to use: Simple setup with minimal configuration.

Use cases of MCP Bridge?

Connecting cloud applications to local MCP servers for data processing. Bridging AI tools with local compute resources for better performance. Running secure cloud-based development and testing environments for AI models.

FAQ from MCP Bridge?

What is required to set up MCP Bridge? You need Node.js and a local MCP server.

Does MCP Bridge require any modifications to the local MCP server? No, it works with existing MCP servers without changes.

How can I secure my MCP Bridge setup? It uses a configurable token-based authentication system via environment variables.