Overview
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.
