Mcp Arm Dqr
What is Mcp Arm Dqr
MCP-ARM-DQR is an MCP (Model Context Protocol) server designed for accessing Data Quality Report (DQR) databases from the ARM user facility.
Use cases
Use cases include querying data quality reports for specific datastreams, analyzing trends in data quality over time, and integrating data quality assessments into research workflows.
How to use
To use MCP-ARM-DQR, set up your environment by installing ‘uv’, create a project directory, set up a virtual environment, install dependencies, build the Docker image, and configure it in the Claude Desktop app.
Key features
Key features include querying the ARM Data Quality Report API for data quality information, customizable query parameters such as datastream and quality category, and easy integration with the Claude Desktop app.
Where to use
MCP-ARM-DQR can be used in fields such as environmental monitoring, data analysis, and research where data quality assessment is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Arm Dqr
MCP-ARM-DQR is an MCP (Model Context Protocol) server designed for accessing Data Quality Report (DQR) databases from the ARM user facility.
Use cases
Use cases include querying data quality reports for specific datastreams, analyzing trends in data quality over time, and integrating data quality assessments into research workflows.
How to use
To use MCP-ARM-DQR, set up your environment by installing ‘uv’, create a project directory, set up a virtual environment, install dependencies, build the Docker image, and configure it in the Claude Desktop app.
Key features
Key features include querying the ARM Data Quality Report API for data quality information, customizable query parameters such as datastream and quality category, and easy integration with the Claude Desktop app.
Where to use
MCP-ARM-DQR can be used in fields such as environmental monitoring, data analysis, and research where data quality assessment is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.
Install uv.
curl -LsSf https://astral.sh/uv/install.sh | sh
Restart your terminal after installing uv.
Set up project.
# 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
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:
{
"mcpServers": {
"arm-dqr": {
"command": "/usr/local/bin/docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"arm-dqr"
]
}
}
}Components
Tools
- 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.
Examples
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
