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.
@1099271
基本信息
暂无概览
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"
]
}
}
}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。
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.
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.
It exposes MasterFlow API tools (note details and alert details) as MCP tools, allowing LLMs to query MasterFlow data through a standardized protocol.
Python 3.12 or higher. All dependencies are listed in `pyproject.toml` and installed with `pip install -e .`.
After installation, run `python src/note_mcp_serve.py` from the project root.
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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