MCP server for ARM Data Quality Report database
About
An MCP (Model Context Protocol) server for accessing Data Quality Report(DQR) databases from the ARM user facility.
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- Author
- lishanlitamu
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- Queries the ARM DQR API for data quality reports.
- Filters by datastream (required) and optional parameters.
- Supports date range filtering with startdate and enddate.
- Returns a dictionary of DQR data.
- Deployed as a Docker container for easy setup.
- Integrates with Claude Desktop via MCP.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP server for ARM Data Quality Report databaseCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install uv, create a project with uv init MCP-ARM-DQR, install dependencies (mcp[cli], requests), then build the Docker image with docker build -t arm-dqr .. Finally, add the Docker command configuration to the mcpServers section of your Claude Desktop config file. After restarting Claude, the server exposes the query_dqr tool.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server for arm data quality report database": {
"arm-dqr": {
"command": "/usr/local/bin/docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"arm-dqr"
]
}
}
}
}McpServers
{
"arm-dqr": {
"command": "/usr/local/bin/docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"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._
Install uv.
curl -LsSf https://astral.sh/uv/install.sh | sh
uv.
Set up project.
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