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
5.8K

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.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.5K
4 points
P
Paperbanana
Python
6.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.8K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase