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MCP Server

MCP Server

Local
github.com/cbwinslowDeveloper Tools0Updated 74w ago
Repository

About MCP Server

MCP server implementation built for deployment on CloudFlare, aimed at AI tool integrations. It combines WebSocket communication and REST management endpoints with a React dashboard for monitoring.

Key features

  1. 01WebSocket real-time communication
  2. 02REST endpoints for system management
  3. 03AI tool integration
  4. 04JWT authentication and role-based access
  5. 05Monitoring and analytics dashboard

Use cases

  1. 01Deploying an AI tool integration server
  2. 02Managing system settings through REST endpoints
  3. 03Monitoring usage, health, and errors

MCP support

Implements an MCP server for AI tool integration. The README does not specify which tools or resources it exposes to MCP clients.

#mcp-server#cloudflare#ai-integration

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "cbwinslow": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "build"
      ]
    }
  }
}
Run commanddocker run -i --rm build

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocibuild

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server

Version License Build Status

A robust Message Control Protocol (MCP) server implementation hosted on CloudFlare infrastructure, providing seamless AI tool integration capabilities.

Overview

The MCP Server project implements a high-performance message control protocol server designed for AI tool integration. Hosted at mcp.cloudcurio.cc, it provides a scalable and secure platform for managing AI communication protocols.

Key Features
  • Real-time WebSocket communication
  • REST API endpoints for system management
  • Comprehensive AI tool integration
  • Advanced security features
  • Scalable CloudFlare infrastructure
  • Monitoring and analytics dashboard

For detailed project specifications, see:

Quick Start

Prerequisites
  • Node.js 18.x or higher
  • CloudFlare account with Workers/Pages access
  • Domain access for cloudcurio.cc
  • Docker (optional)
Installation
  1. Clone the repository:
git clone https://github.com/cbwinslow/mcp-server.git
cd mcp-server
  1. Install dependencies:
npm install
  1. Configure environment:
cp .env.example .env
# Edit .env with your configurations
  1. Run development server:
npm run dev

CloudFlare Setup

Domain Configuration
  1. Log into CloudFlare dashboard
  2. Add subdomain mcp.cloudcurio.cc
  3. Configure DNS settings:
Type    Name    Content             Proxy status
A       mcp     192.0.2.1          Proxied
CNAME   www     mcp.cloudcurio.cc  Proxied
Workers Setup
  1. Install Wrangler CLI:
npm install -g @cloudflare/wrangler
  1. Configure Wrangler:
wrangler login
wrangler init
  1. Deploy to CloudFlare:
wrangler publish

Development Setup

Local Development
  1. Set up development environment:
npm run setup-dev
  1. Start development server:
npm run dev
  1. Run tests:
npm test
Docker Development
  1. Build container:
docker build -t mcp-server .
  1. Run container:
docker run -p 3000:3000 mcp-server

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Process
  1. Fork the repository
  2. Create a feature branch
  3. Commit changes
  4. Push to your fork
  5. Submit a pull request
Code Standards
  • Follow ESLint configuration
  • Write tests for new features
  • Update documentation
  • Follow semantic versioning

Documentation

System Architecture

The system is built on CloudFlare's infrastructure using:

  • CloudFlare Workers for serverless computing
  • CloudFlare Pages for static content
  • WebSocket protocol for real-time communication
  • JWT for authentication
  • React for admin interface

Monitoring and Analytics

Access the monitoring dashboard at: https://mcp.cloudcurio.cc/admin

Features include:

  • Real-time metrics
  • System health monitoring
  • Usage analytics
  • Error tracking
  • Performance metrics

Security

Security features include:

  • SSL/TLS encryption
  • DDoS protection
  • Rate limiting
  • JWT authentication
  • Role-based access control

For security issues, please see our Security Policy.

License

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

Support

Roadmap

See our Project Plan for detailed development roadmap.

Acknowledgments

  • CloudFlare for infrastructure
  • Contributors and maintainers
  • Open source community

Version History

See CHANGELOG.md for release history.

Comments

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