MCP Server
@cbwinslow
关于 MCP Server
MCP Server implementation with CloudFlare integration
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-cbwinslow": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-server",
"."
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP Server?
The MCP Server is a robust Message Control Protocol (MCP) server hosted on CloudFlare infrastructure. It provides a scalable, secure platform for managing AI communication protocols and integrating AI tools.
How to use MCP Server?
Clone the repository, install dependencies (npm install), configure the .env file, and run the development server (npm run dev). You can also deploy via CloudFlare Workers using Wrangler (wrangler publish) or use Docker (docker build, docker run).
Key features of MCP Server
- Real-time WebSocket communication
- REST API endpoints for system management
- Comprehensive AI tool integration
- Advanced security (SSL/TLS, JWT, RBAC)
- Scalable CloudFlare infrastructure
- Monitoring and analytics dashboard
Use cases of MCP Server
- Integrating AI tools into applications
- Managing real-time AI communication protocols
- Monitoring system health and usage analytics
- Deploying a secure, serverless AI backend
FAQ from MCP Server
What are the prerequisites for running MCP Server?
Node.js 18.x or higher, a CloudFlare account with Workers/Pages access, and domain access for cloudcurio.cc. Docker is optional.
How do I deploy MCP Server on CloudFlare?
Install the Wrangler CLI (npm install -g @cloudflare/wrangler), log in (wrangler login), then run wrangler publish.
How can I monitor the server?
Access the monitoring dashboard at https://mcp.cloudcurio.cc/admin for real-time metrics, system health, usage analytics, error tracking, and performance metrics.
What security features does MCP Server include?
SSL/TLS encryption, DDoS protection, rate limiting, JWT authentication, and role-based access control (RBAC).
Where can I find the API documentation?
The API documentation is available in docs/api/README.md.
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