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MCP-Server-Cloud
云MCP服务器上的公共服务主机
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AI Service Platform
A cloud-ready service platform for AI-powered tool execution with Model Context Protocol (MCP) integration.
Key Features
-
Cloud Native Architecture
- REST API endpoints for all operations
- Stateless design with persistent tool configuration
- Horizontal scaling support
-
Unified Tool Gateway
- Automatic discovery of MCP tools in
servers/
directory
- Automatic discovery of MCP tools in
Cloud Deployment
Prerequisites
- Python 3.10+
API Usage
Endpoints
List Available Tools
GET /tools
Execute Natural Language Query
POST /query
{
"query": "5+5",
}
Development Setup
- Clone the repository:
git clone https://github.com/Daniel1989/mcp-server-cloud.git
cd mcp-server-cloud
- Set up virtual environment:
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- Start development server:
FLASK_DEBUG=1 python flask.py
Resources
- python-sdk. https://github.com/modelcontextprotocol/python-sdk
- cline's prompt -- how to ask ai to select mcp server. https://github.com/cline/cline/blob/main/src/core/prompts/system.ts
- remote mcp server https://github.com/sidharthrajaram/mcp-sse
- https://actions.zapier.com/settings/mcp/
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Reviews

user_C3spRbCd
The Claude MCP Server for Observability Demo by agardnerIT is incredibly effective for monitoring and managing server functions. The easy integration and comprehensive observability it provides is impressive. Highly recommended for IT professionals seeking a robust monitoring solution.