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mcp-server-cloud

by Daniel1989

AI/ServicesCloudAPITool Execution

A cloud-ready service platform for AI-powered tool execution with Model Context Protocol (MCP) integration. It provides REST API endpoints for executing natural language queries against available AI tools.

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Last updated: N/A

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

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

  1. Clone the repository:
git clone https://github.com/Daniel1989/mcp-server-cloud.git
cd mcp-server-cloud
  1. Set up virtual environment:
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
  1. Start development server:
FLASK_DEBUG=1 python flask.py

Resources

  1. python-sdk. https://github.com/modelcontextprotocol/python-sdk
  2. cline's prompt -- how to ask ai to select 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/