P

Pluggedin App

The plugged.in App is a comprehensive web application for managing Model Context Protocol (MCP) servers, providing a unified interface to discover, configure, and use AI tools across multiple MCP servers. It supports multi - workspaces, an interactive testing platform, tool management, resource discovery, etc., can be integrated with various MCP clients, and supports self - hosted deployment.
2.5 points
25

What is plugged.in?

plugged.in is a web application for managing Model Context Protocol (MCP) servers. It provides an intuitive interface to discover, configure, and use AI tools across multiple MCP servers.

How to use plugged.in?

Through simple Docker installation or direct deployment, you can quickly set up your own plugged.in instance. Then integrate and use it with various MCP clients (such as Claude, Cursor, etc.) through the web interface or API.

Use cases

Suitable for developers and teams who need to centrally manage multiple AI tools, especially in scenarios where resources and contexts need to be shared across different MCP servers.

Main features

Multi - workspace supportSwitch between different MCP configuration sets to avoid context pollution
Interactive playgroundTest and experiment with your MCP tools directly in the browser
Tool managementDiscover, organize, and manage AI tools from multiple sources
Resource discoveryView available resources and templates of connected MCP servers
Custom instructionsAdd server - specific instructions, which can be used as MCP prompts

Advantages and limitations

Advantages
Manage multiple MCP servers with a unified interface
Support multiple popular MCP clients
Provide detailed interaction log records
Self - hosted, with full control of data
Open - source and extensible
Limitations
Basic server management knowledge is required for self - hosting
Some advanced features require MCP proxy configuration
Extra resource planning is required for large - scale deployment

How to use

Installation and deployment
Quickly deploy via Docker or install manually
Configure MCP clients
Configure the plugged.in proxy in your favorite MCP client
Add MCP servers
Add the MCP servers you want to manage in the web interface
Start using
Call your AI tools through the interface or API

Usage examples

Cross - team AI tool sharingDevelopment teams use plugged.in to centrally manage AI tools developed by various departments for cross - team sharing
Multi - environment configuration managementConfigure different MCP server sets for development, testing, and production environments and switch easily
AI tool experimentTest newly developed AI tools in the interactive playground without modifying client configurations

Frequently Asked Questions

What's the difference between using plugged.in and directly using MCP servers?
Do I need programming knowledge to use plugged.in?
Which MCP clients does plugged.in support?
How is the data stored and protected?
How to add a new MCP server?

Related resources

plugged.in MCP Proxy repository
The MCP proxy component of plugged.in
Model Context Protocol specification
The official MCP specification document
Claude Desktop documentation
The usage guide for the Claude client
Cursor documentation
The documentation for the Cursor AI assistant
Docker installation guide
The official Docker installation document
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
N
Notte Browser
Certified
Notte is an open-source full-stack network AI agent framework that provides browser sessions, automated LLM-driven agents, web page observation and operation, credential management, etc. It aims to transform the Internet into an agent-friendly environment and reduce the cognitive burden of LLMs by describing website structures in natural language.
652
4.5 points
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
336
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
221
4 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
317
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
105
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
609
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
548
5 points
Featured MCP Services
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
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 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
79
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
130
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#
554
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
6.6K
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
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase