MCP-ARM-DQR

# MCP server for ARM Data Quality Report database An MCP (Model Context Protocol) server for accessing Data Quality Report (DQR) database from the ARM user facility. ## Usage ### Set up your environment in MaxOS/Linus. _For setup in Windows, please refer to the [official guide](https://modelcontextprotocol.io/quickstart/server)._ Install `uv`. ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` Restart your terminal after installing `uv`. ### Set up project. ```bash # Create a new directory for this project or initialize it with an existing folder uv init MCP-ARM-DQR cd MCP-ARM-DQR # Create virtual environment and activate it uv venv source .venv/bin/activate # Install dependencies uv add "mcp[cli]" "requests" ``` ### Build docker image. Doacker Image Name: `arm-dqr` ```bash docker build -t arm-dqr . ``` ### Add this MCP server to Claude Desktop app. To use this server with the Claude Desktop app, click `developer`>`Edit Config` and add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`: <img src="./images/claude-desktop-arm-dqr.jpeg" alt="MCP server on Claude Desktop" width="500"/> ```json { "mcpServers": { "arm-dqr": { "command": "/usr/local/bin/docker", "args": [ "run", "-i", "--rm", "--init", "-e", "DOCKER_CONTAINER=true", "arm-dqr" ] } } } ``` ## Components ### Tools 1. **query_dqr** - Description: Queries the ARM Data Quality Report (DQR) API for data quality information - Parameters: - `datastream`: The datastream to query (required) - `quality_category`: Quality category filter (optional) - `startdate`: Start date for filtering (optional) - `enddate`: End date for filtering (optional) - Returns: Dictionary containing the DQR data _For more details about ARM Data Quality Report API, please refer to the [official documentation](https://dqr-web-service.svcs.arm.gov/docs)._ ## Examples <img src="./images/example-query-dqr.jpeg" alt="MCP ARM Live Data" width="500"/>