MCP Bridge Api
MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.
rating : 2.5 points
downloads : 20
What is MCP Bridge?
MCP Bridge is a lightweight proxy service that connects multiple Model Context Protocol (MCP) servers and exposes their functions through a unified REST API. It allows clients on any platform to use MCP functions without directly running the MCP server process.How to use MCP Bridge?
Interact with MCP Bridge through simple HTTP requests, and it can proxy your requests to the backend MCP servers. You can also use the accompanying MCP-Gemini Agent to interact with MCP tools in natural language.Use cases
Suitable for scenarios where MCP functions need to be used on mobile devices, browsers, or other environments that cannot directly run MCP servers. It is also suitable for situations where multiple MCP server connections need to be centrally managed.Main features
Multi-server supportCan connect to and manage multiple different types of MCP servers simultaneously
Unified REST APIProvides a consistent RESTful interface for all connected MCP servers
Risk level controlSupports three risk levels (low, medium, high) and provides different security execution strategies
Gemini intelligent agentThe accompanying Python client that enables natural language interaction through Google Gemini LLM
Docker isolationAutomatically uses Docker container isolation for high-risk operations
Advantages and limitations
Advantages
Platform independence: Can be used on any device that can send HTTP requests
Resource efficiency: Multiple clients can share the same MCP server connection
Security controllability: Provides fine-grained security control through the risk level system
Ease of use: The accompanying Gemini Agent enables non-technical users to easily use MCP tools
Limitations
Requires an additional proxy layer, which may add a small amount of latency
High-risk levels require Docker environment support
The Gemini Agent requires a Google API key
How to use
Install MCP Bridge
Ensure that Node.js 18+ is installed, and then run npm install to install dependencies
Configure MCP servers
Edit the mcp_config.json file and add the configuration of the MCP servers you need to connect to
Start MCP Bridge
Run node mcp-bridge.js to start the proxy service
Use the API or Gemini Agent
Call the API directly through HTTP requests or use the MCP-Gemini Agent for natural language interaction
Usage examples
Browse the file systemAccess and browse the file system of a remote server through MCP Bridge
Send a Slack messageSend a message to a specified channel through the Slack MCP server
Confirm high-risk operationsExecute medium-risk operations that require confirmation
Frequently Asked Questions
Which MCP servers does MCP Bridge support?
How to add a new MCP server?
How are risk levels determined?
What permissions does the Gemini Agent require?
Related resources
Official documentation of Model Context Protocol
Official documentation and specifications of the MCP protocol
GitHub repository
Source code and the latest version of MCP Bridge
List of MCP servers
List of official and community-maintained MCP servers
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