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MCP server for ARM Data Quality Report database

MCP server for ARM Data Quality Report database

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github.com/lishanlitamuData & Analytics1Updated 77w ago
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About MCP server for ARM Data Quality Report database

This MCP server provides access to the ARM user facility's Data Quality Report database. It is intended for users who need to retrieve data quality information, with filters for datastream, category, and dates.

Key features

  1. 01Query ARM DQR data
  2. 02Filter by datastream
  3. 03Filter by quality category
  4. 04Filter by date range

Use cases

  1. 01Check data quality for a datastream
  2. 02Narrow reports to a quality category
  3. 03Query reports for a date range

MCP support

The server exposes the query_dqr tool to MCP clients, querying the ARM Data Quality Report API with datastream, quality-category, and date filters.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "MCP-ARM-DQR": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DOCKER_CONTAINER",
        "arm-dqr"
      ],
      "env": {
        "DOCKER_CONTAINER": "<DOCKER_CONTAINER>"
      }
    }
  }
}
Run commanddocker run -i --rm -e DOCKER_CONTAINER arm-dqr
Environment variables to set
DOCKER_CONTAINER

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ociarm-dqr

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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:

MCP server on Claude Desktop 
{
  "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.

Examples

MCP ARM Live Data

Comments

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