MCP-Bridge FAQs

Question 1

What is MCP-Bridge?

Accepted Answer

MCP-Bridge connects MCP tools to the OpenAI API, enabling interaction with them through a compatible interface. It acts as a bridge, allowing you to use any client with any MCP tool without explicit MCP support.

Question 2

What are the key features of MCP-Bridge?

Accepted Answer

MCP-Bridge offers non-streaming and streaming chat completions with MCP, supports MCP tools and MCP sampling, provides an SSE Bridge for external clients, exposes REST API endpoints, and supports API Key Authentication. It also boasts 582 GitHub stars.

Question 3

How do I install MCP-Bridge?

Accepted Answer

The recommended installation method is using Docker. Alternatively, you can perform a manual installation by cloning the repository, setting up dependencies, creating a config.json file, and running the application.

Question 4

How do I add new MCP servers to MCP-Bridge?

Accepted Answer

You can add new MCP servers by editing the `config.json` file, which specifies the command and arguments for each server. See the documentation for detailed configuration options.

Question 5

How does MCP-Bridge use the OpenAI API?

Accepted Answer

MCP-Bridge acts as an intermediary, modifying incoming OpenAI API requests to include tool definitions. It then forwards the request to an inference engine, manages tool calls, and returns the results to the inference engine for response generation before sending the final response to the OpenAI API.

MCP-Bridge

About

Key Features

Use Cases