mcp-server-cloud
by Daniel1989
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.
Last updated: N/A
What is mcp-server-cloud?
This is a cloud-ready service platform designed for executing AI-powered tools. It leverages the Model Context Protocol (MCP) to provide a unified gateway for interacting with various AI tools through REST APIs.
How to use mcp-server-cloud?
To use the platform, you can start by listing available tools using the GET /tools endpoint. You can then execute natural language queries using the POST /query endpoint, providing your query in the request body. Refer to the development setup instructions for running the server locally.
Key features of mcp-server-cloud
Cloud Native Architecture with REST API endpoints
Stateless design with persistent tool configuration
Horizontal scaling support
Unified Tool Gateway with automatic discovery of MCP tools
Use cases of mcp-server-cloud
Executing mathematical calculations using natural language queries
Integrating AI tools into cloud-based applications
Building AI-powered chatbots and virtual assistants
Automating tasks using AI tool execution
FAQ from mcp-server-cloud
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a protocol for interacting with AI models and tools.
How do I add new tools?
How do I add new tools?
New MCP tools should be placed in the servers/ directory for automatic discovery.
What are the prerequisites for running the server?
What are the prerequisites for running the server?
You need Python 3.10+ installed.
How do I start the development server?
How do I start the development server?
After setting up the virtual environment, run FLASK_DEBUG=1 python flask.py.
Where can I find more information about MCP?
Where can I find more information about MCP?
Refer to the python-sdk at https://github.com/modelcontextprotocol/python-sdk