Pluggedin
The plugged.in MCP Proxy Server is a middleware that aggregates multiple MCP servers to provide a unified interface, supports multiple MCP clients, and has advanced management functions.
2.5 points
4.9K

What is the plugged.in MCP Proxy Server?

The plugged.in MCP Proxy Server is an intelligent middleware that can aggregate multiple Machine Conversation Protocol (MCP) servers into a single interface. By integrating with the plugged.in application, it automatically retrieves tool, prompt, and resource configurations and intelligently routes requests to the appropriate underlying MCP servers.

How to use the plugged.in MCP Proxy Server?

Simply install the Node.js environment and obtain a plugged.in API key, then you can start the proxy server with a simple command. It supports seamless integration with MCP clients such as Claude Desktop, Cline, and Cursor.

Use cases

It is suitable for scenarios where multiple MCP servers need to be managed simultaneously, especially in scenarios where a unified interface and data exchange are required between different AI tools. Typical use cases include AI development environments, automated workflows, and multi - model collaboration systems.

Main features

Universal MCP compatibility
Supports all major MCP clients, including Claude Desktop, Cline, and Cursor
Multi-server support
Can connect to both STDIO (command - line) and WebSocket (HTTP) types of MCP servers simultaneously
Namespace isolation
Keeps tools and resources of different MCP servers isolated and organized through prefixes
Multi-workspace layer
Switch between different MCP configuration sets with one click to meet the needs of different projects
API-driven proxy
Obtains capability configurations from the plugged.in application API instead of direct discovery
Advantages
Simplifies the management of multiple MCP servers and provides a unified interface
Supports seamless integration of major MCP clients
Centrally manages configurations through the API, reducing maintenance complexity
Docker support facilitates deployment and expansion
An open - source project driven by the community
Limitations
Requires a Node.js runtime environment
Depends on the plugged.in API service
Requires obtaining an API key for initial configuration
Has limited support for custom MCP extensions

How to use

Installation preparation
Ensure that the Node.js 18+ environment is installed. It is recommended to use Node 20+
Obtain an API key
Visit the plugged.in website to register and obtain an API key
Start the proxy server
Use npx to quickly start the proxy server
Configure the MCP client
Add proxy configurations according to the client (Claude/Cline/Cursor) you are using

Usage examples

Example 1: Integrate multiple AI tools
Use the AI capabilities of Claude and Cursor simultaneously and call them through a unified interface
Example 2: Switch between multiple workspaces
Configure different sets of MCP servers for different projects
Example 3: Centralized resource management
Access resources distributed on different servers through the proxy

Frequently Asked Questions

Do I need to configure each MCP server separately?
Which MCP clients are supported?
How to update the server configuration?
Is local development and debugging supported?

Related resources

plugged.in Application Repository
Source code and documentation of the plugged.in application
MCP Protocol Specification
Official documentation of the Machine Conversation Protocol
Claude Documentation
User guide for Claude Desktop
Docker Installation Guide
Official Docker installation documentation

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "pluggedin": {
      "command": "npx",
      "args": ["-y", "@pluggedin/mcp-proxy@latest"],
      "env": {
        "PLUGGEDIN_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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