Welcome to Plugged.in

The Crossroads for AI Data Exchanges
Plugged.in is a comprehensive platform for managing Model Context Protocol (MCP) servers with integrated RAG (Retrieval-Augmented Generation) capabilities. It provides a unified interface for discovering, configuring, and utilizing AI tools across multiple MCP servers while leveraging your own documents as context.Platform
Access the Plugged.in platform
GitHub
View source code and contribute
MCP Registry
Discover and share MCP servers
API Reference
Integrate with our API
What is Plugged.in?
Plugged.in enables seamless integration with any MCP client (Claude, Cline, Cursor, etc.) while providing advanced management capabilities, document-based knowledge augmentation, and real-time notifications through an intuitive web interface.Key Components
pluggedin-app (v2.10.3)
- Next.js 15 web application
- Social platform for MCP management
- User profiles and sharing capabilities
- Multi-language support
Core Features
🎯 Latest Features (v2.10.0)
Security & Performance
Security & Performance
- Comprehensive security audit addressing vulnerabilities
- Performance optimizations including database indexing
- Enhanced encryption system overhaul
- Improved error handling and type safety
AI Document Exchange (v2.8.0)
AI Document Exchange (v2.8.0)
- Revolutionary document management with AI model attribution
- Complete version tracking and change history
- Content hash-based deduplication
- Support for upload, AI-generated, and API sources
Smart Server Wizard (v2.7.0)
Smart Server Wizard (v2.7.0)
- Multi-step wizard with GitHub verification
- Automatic environment detection
- Registry submission with progress tracking
- OAuth authentication handled by Plugged.in
Social Platform Features
Social Platform Features
🚀 Platform Capabilities
- Multi-Workspace Support: Switch between different sets of MCP configurations
- Interactive Playground: Test MCP tools directly in the browser
- Tool Management: Discover and organize AI tools from multiple sources
- Resource Discovery: View available resources and templates
- Custom Instructions: Add server-specific instructions as MCP prompts
- End-to-End Encryption: AES-256-GCM encryption for sensitive data
Getting Started
1
Sign Up
Create your account at plugged.in
2
Set Up MCP Servers
Configure your MCP servers through the web interface
3
Connect Your Client
Use the generated configuration with Claude, Cursor, or other MCP clients
4
Start Building
Leverage the full power of MCP tools in your AI workflows
Quick Links
Community & Support
GitHub Issues
Report bugs and request features
Discussions
Join the community discussion
API Support
Get API and technical support