MCP Server Cloud

🚀 AI Service Platform

A cloud-native service platform for running AI-driven tools, integrated with Model Context Protocol (MCP).

🚀 Quick Start

The AI Service Platform is a cloud-native service platform designed for executing AI-driven tools and integrating the Model Context Protocol (MCP).

✨ Features

• Cloud-Native Architecture
  • REST API endpoints for all operations.
  • Stateless design with persistent tool configurations.
  • Support for horizontal scaling.
• Unified Tool Gateway
  • Automatically discovers MCP tools in the servers/ directory.

📦 Installation

Prerequisites

• Python 3.10+

💻 Usage Examples

API Endpoints

List Available Tools

GET /tools

Execute Natural Language Query

POST /query
{
  "query": "5+5",
}

📚 Documentation

Setting up the Development Environment

1. Clone the repository:

git clone https://github.com/Daniel1989/mcp-server-cloud.git
cd mcp-server-cloud

2. Configure the virtual environment:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

3. Start the development server:

FLASK_DEBUG=1 python flask.py

📚 Resources

1. python-sdk. https://github.com/modelcontextprotocol/python-sdk
2. cline's prompt - How to make AI choose an MCP server. https://github.com/cline/cline/blob/main/src/core/prompts/system.ts
3. Remote MCP server. https://github.com/sidharthrajaram/mcp-sse
4. https://actions.zapier.com/settings/mcp/