Rickbot-3000 MCP Service

A Model Context Protocol (MCP) server for the Rickbot-3000 System, deployable on Render.com and compatible with TypingMind.

🤖 About Rickbot-3000

The Rickbot-3000 is an advanced AI-powered robotic system with comprehensive monitoring, command execution, and diagnostic capabilities. This MCP service provides remote access to the system through AI assistants like TypingMind.

✨ Features

• Real-time System Status: Monitor all system components and metrics

• Command Execution: Execute commands remotely with parameter support

• Comprehensive Diagnostics: Run detailed system diagnostics

• Deployment Management: Deploy updates to different environments

• Remote Access: Full compatibility with TypingMind and other MCP clients

🚀 Available Tools

rickbot_status

Get the current operational status of the Rickbot-3000 system including:

• Component status (core, sensors, communication, power, navigation, AI module)

• Performance metrics (CPU, memory, network latency)

• System uptime and power levels

rickbot_command

Execute commands on the Rickbot-3000 system:

• Parameters: command (required), parameters (optional)

• Examples: system.restart, sensors.calibrate, nav.goto, ai.train

rickbot_diagnostics

Run comprehensive system diagnostics:

• Parameters: component (optional - specific component to diagnose)

• Returns detailed health checks, issues, and recommendations

rickbot_deploy

Deploy updates to the Rickbot-3000 system:

• Parameters: version (required), environment (required: development/staging/production)

• Includes deployment tracking and rollback capabilities

🛠️ Technical Requirements

• Node.js: 18.0.0 or higher

• Runtime: Compatible with Render.com deployment

• Protocol: Model Context Protocol (MCP) SDK

🌐 Deployment

This service is designed for deployment on Render.com with the following configuration:

• Runtime: Node.js 18+

• Build Command: npm run build

• Start Command: npm start

• Environment: Production-ready with error handling and logging

🔗 TypingMind Integration

To connect this MCP service to TypingMind:

1. Deploy the service to Render.com

2. Copy the service URL

3. Configure TypingMind with the MCP server endpoint

4. Authenticate using your Render API credentials

📝 Environment Variables

• RENDER_API_KEY: Your Render API key for service management

• GITHUB_TOKEN: GitHub access token for repository operations

• NODE_ENV: Environment setting (production/development)

🚦 Getting Started

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

# Development mode
npm run dev

📊 System Monitoring

The service provides real-time monitoring of:

• System health and performance metrics

• Component operational status

• Network connectivity and latency

• Power management and optimization

• AI module learning progress

🔧 Maintenance

Regular maintenance features include:

• Automated diagnostics and health checks

• Performance optimization recommendations

• Sensor calibration and system updates

• Deployment tracking and rollback capabilities

📄 License

MIT License - See LICENSE file for details

Rickbot-3000 MCP Service - Enabling seamless AI-powered robot management through TypingMind and other MCP-compatible clients.