MasterFlow MCP Server

Name: MasterFlow MCP Server
Author: 1099271

@1099271

リポジトリ

MasterFlow MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

1099271

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from MasterFlow MCP Server

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.

What are the installation requirements?

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

How do I start the server?

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

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.