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plugged.in App

by VeriTeknik

The plugged.in App is a comprehensive web application for managing Machine Conversation Protocol (MCP) servers. It provides a unified interface for discovering, configuring, and utilizing AI tools across multiple MCP servers.

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What is plugged.in App?

The plugged.in App is a web application designed to manage Machine Conversation Protocol (MCP) servers, providing a unified interface for AI tool management and integration.

How to use plugged.in App?

The app can be used by self-hosting it using Docker or directly through the plugged.in cloud service. It connects to MCP clients via the plugged.in MCP Proxy, allowing users to manage and interact with AI tools from various MCP servers through a single interface. API keys are used for authentication.

Key features of plugged.in App

  • Multi-Workspace Support

  • Interactive Playground

  • Tool Management

  • Resource & Template Discovery

  • Custom Instructions

  • Server Notes

  • Extensive Logging

  • Prompt Management

  • Expanded Discovery

  • Self-Hostable

Use cases of plugged.in App

  • Managing multiple AI models and tools from different providers.

  • Experimenting with AI tools in a sandboxed environment.

  • Centralized configuration and monitoring of MCP servers.

  • Integrating AI tools into existing applications and workflows.

FAQ from plugged.in App

What is MCP?

MCP stands for Machine Conversation Protocol, a standard for interacting with AI models.

How do I connect my MCP client?

You need the plugged.in MCP Proxy and an API key from the plugged.in App.

Can I self-host the plugged.in App?

Yes, the app is self-hostable using Docker or a production setup with Node.js, PostgreSQL, and Nginx.

What are the benefits of using the plugged.in App?

It provides a unified interface, simplifies AI tool management, and enhances security with features like Firejail sandboxing.

Is there a cloud version available?

Yes, a cloud version is available at plugged.in, offering a managed service with automatic updates.