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MasterFlow MCP Server

@1099271

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

1099271

MasterFlow MCP Server について

概要はまだありません

MasterFlow MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MasterFlow MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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