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AI Service Platform MCP Server

@Daniel1989

代码仓库

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其他

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stdio

作者

Daniel1989

关于 AI Service Platform MCP Server

public service host on cloud mcp server

AI Service Platform MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

AI Service Platform MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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?

—

常见问题

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.

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