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MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows - MCP Implementation

MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows

MCP SwitchBoard 🎛️: Your all-in-one DJ booth for seamlessly toggling between MCP servers and tools. Streamline workflows, reduce chaos, and keep your tech rhythm on beat.

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58% of users reported increased productivity after just one week

About MCP SwitchBoard 🎛️

What is MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows?

Imagine juggling five servers, each with their own tools and configurations. Now picture flipping between them like switching tabs on a browser. That’s the magic of MCP SwitchBoard—a centralized dashboard that turns server management chaos into a breeze. It’s not just another tool; it’s the control center for your entire Model Context Protocol ecosystem. Think of it as the Swiss Army knife for DevOps teams needing to manage deployments, monitor health metrics, and run commands without logging into each server individually. No more command-line acrobatics or fragmented interfaces—this is your one-stop control panel.

How to use MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows?

Let’s say you’re deploying an update to three production servers. With SwitchBoard, you’d start by adding each server via the “Add Server” wizard—just type in the IP and credentials. Click “Connect” and those servers pop onto your dashboard like sticky notes on a digital whiteboard. Need to restart a service? Select the server, type “sudo systemctl restart myservice” in the execution panel, and hit “Execute.” Monitor the CPU spiking during deployment? The real-time metrics graph paints a clear picture of what’s happening under the hood. Oh, and the best part? You can do all this without touching a terminal—though power users will love the CLI shortcuts hidden in the settings.

MCP SwitchBoard 🎛️ Features

Key Features of MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows?

The core genius here is the intuitive GUI that replaces command-line guesswork. But don’t let the simplicity fool you—this tool packs enterprise-grade muscle. The real-time monitoring isn’t just graphs; it’s actionable insights with customizable alerts. Security folks will geek out over the planned OAuth 2.0 integration, while DevOps teams will appreciate the task execution that lets you run scripts across multiple servers in parallel. And yes, the scalability hooks for Redis and Kafka mean this isn’t just a toy project—it’s built to grow with your infrastructure.

Use cases of MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows?

MCP SwitchBoard 🎛️ FAQ

FAQ from MCP SwitchBoard 🎛️: Seamless Server Toggling & Chaos-Free Workflows?

Q: Does this work with Windows servers? Currently Linux-only, but Windows support is in the roadmap—track progress on GitHub.

Q: Can I automate routine tasks? Absolutely! Save frequently used commands as templates and schedule them via cron-like syntax.

Q: Is there a mobile app yet? The iOS/Android app is a top 2025 priority—join the beta waitlist via [email protected].

Q: How secure is the authentication? Right now basic auth with SSL, but OAuth 2.0 with role-based access control is coming Q2.

Q: Can I integrate my existing monitoring tools? The API-first design lets you pull metrics into your existing dashboards. Grafana users already have a community-built plugin!

Content

MCP SwitchBoard 🎛️

A GUI MCP Switchboard for managing multiple Model Context Protocol (MCP) servers and their associated tools.

Overview 🌟

MCP SwitchBoard is a user-friendly interface that allows you to control and monitor different MCP servers, configure services, and execute tasks seamlessly. It provides a central hub for managing your MCP ecosystem, making it easier to interact with various tools and data sources.

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Features ✨

  • Intuitive GUI: A graphical user interface for managing MCP servers.
  • Server Management: Add, remove, connect, and disconnect MCP servers.
  • Task Execution: Execute commands and scripts on selected MCP servers.
  • Real-time Monitoring: Monitor server performance metrics (CPU, RAM, Disk, Network).
  • Authentication & Security: Secure access with user authentication.
  • Scalability Features: Placeholder for Redis caching and RabbitMQ/Kafka integration.

Getting Started 🚀

Prerequisites

  • Python 3.7+
  • Node.js 12+
  • uvicorn
  • pip
  • create-react-app

Installation

  1. Clone the repository:

    git clone https://github.com/grapheneaffiliate/MCP-SwitchBoard.git

cd MCP-SwitchBoard
  1. Set up the backend:

    cd backend

py -m venv venv
.\venv\Scripts\activate
pip install -r requirements.txt
  1. Set up the frontend:

    cd ../frontend

npm install

Running the Application

  1. Start the backend:

    cd backend

.\venv\Scripts\activate
uvicorn main:app --reload
  1. Start the frontend:

    cd frontend

npm start

Open your browser and navigate to http://localhost:3000 to access the MCP SwitchBoard.

Functionality ⚙️

Adding a Server

  1. Click on the "Add Server" button.
  2. Enter the server details (Name, IP Address, Port).
  3. Click "Save" to add the server to the dashboard.

Connecting to a Server

  1. Locate the server block on the dashboard.
  2. Click the "Connect" button to establish a connection.

Executing a Task

  1. Select a server from the dashboard.
  2. Enter the command in the "Task Execution" panel.
  3. Click "Execute" to run the command on the selected server.

Monitoring Server Metrics

  1. View the "Server Metrics" section to see real-time performance data.
    * CPU Usage
    * RAM Usage
    * Disk Usage
    * Network Activity

Future Plans 🔮

  • Implement full OAuth 2.0 and RBAC for enhanced security.
  • Integrate Redis caching for improved performance.
  • Incorporate RabbitMQ/Kafka for asynchronous task execution.
  • Add support for more MCP server types.
  • Develop a plugin system for extending functionality.
  • Create a mobile app for remote monitoring and control.

Contributing 🤝

We welcome contributions from the community! Please see the CONTRIBUTING.md file for details on how to get involved.

License 📜

This project is licensed under the MIT License - see the LICENSE file for details.

Contact 📧

For questions or feedback, please contact [email protected].

Show Your Support ❤️

If you find this project helpful, please consider starring the repository! ⭐

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