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MasterFlow MCP Server

@1099271

基本信息

分类

其他

传输方式

stdio

作者

1099271

关于 MasterFlow MCP Server

暂无概览

MasterFlow 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": {
    "master-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MasterFlow 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 MasterFlow MCP Server?

MasterFlow MCP Server is a Model Context Protocol (MCP) server that provides large language models with tools to query the MasterFlow API, including note details and alert details retrieved by note ID. It is built using the FastMCP framework and is intended for developers integrating MasterFlow data into LLM workflows.

How to use MasterFlow MCP Server?

Install Python 3.12 or later, clone the repository, create a virtual environment, and run pip install -e . to install dependencies. Then start the server with python src/note_mcp_serve.py, or import the get_alert_details function from the module to use it programmatically.

Key features of MasterFlow MCP Server

  • Note detail query via note ID
  • Alert detail retrieval by note ID
  • Standardized MCP protocol for LLM communication
  • Built with FastMCP framework

Use cases of MasterFlow MCP Server

  • LLMs accessing note details from MasterFlow
  • LLMs retrieving alert information for a specific note
  • Integrating MasterFlow data into AI-powered applications

常见问题

1

What does MasterFlow MCP Server do?

It exposes MasterFlow API tools (note details and alert details) as MCP tools, allowing LLMs to query MasterFlow data through a standardized protocol.

2

What are the installation requirements?

Python 3.12 or higher. All dependencies are listed in `pyproject.toml` and installed with `pip install -e .`.

3

How do I start the server?

After installation, run `python src/note_mcp_serve.py` from the project root.

4

What functions are available?

The main function is `get_alert_details(note_id)`, which returns alert details for the given note ID. The server also provides a corresponding MCP tool for note detail queries.

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