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AI Service Platform MCP Server

@Daniel1989

Repository

Basic information

Category

Other

Transports

stdio

Author

Daniel1989

About AI Service Platform MCP Server

public service host on cloud mcp server

AI Service Platform MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-cloud": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

AI Service Platform MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AI Service Platform?

A cloud-ready service platform for AI-powered tool execution with Model Context Protocol (MCP) integration. It provides REST API endpoints, stateless design with persistent tool configuration, and supports horizontal scaling.

How to use AI Service Platform?

Install Python 3.10+, clone the repository, set up a virtual environment, install dependencies, and start the development server with FLASK_DEBUG=1 python flask.py. Use GET /tools to list available MCP tools and POST /query with a JSON body containing a "query" field to execute natural language queries.

Key features of AI Service Platform?

  • Cloud native architecture with REST API endpoints.
  • Stateless design with persistent tool configuration.
  • Horizontal scaling support.
  • Unified tool gateway with automatic MCP tool discovery in servers/ directory.
  • Execute natural language queries via POST /query endpoint.

Use cases of AI Service Platform?

—

Frequently asked questions

1

What Python version is required?

Python 3.10 or higher is required.

2

How do I list available MCP tools?

Send a GET request to the `/tools` endpoint.

3

How do I execute a natural language query?

Send a POST request to `/query` with a JSON body that includes a `"query"` field (e.g., `{"query": "5+5"}`).

4

What architecture does the platform use?

Cloud-native, stateless design with horizontal scaling support.

5

Where are MCP tools discovered from?

The server automatically discovers MCP tools placed in the `servers/` directory.

Comments

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