P

Pab1it0 Adx MCP Server

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.
2 points
6

What is the Azure Data Explorer MCP Server?

This is a server based on the Model Context Protocol (MCP), specifically designed to connect to Azure Data Explorer (ADX). It allows AI assistants to interact with your ADX data through a standardized interface, execute queries, and obtain data information.

How to use the Azure Data Explorer MCP Server?

You need to configure the ADX cluster connection information, and then connect through an MCP-compatible client (such as Claude Desktop) to start using it. The server provides various tools to explore and query your data.

Applicable scenarios

Suitable for scenarios where you need to query and analyze data in Azure Data Explorer through an AI assistant, especially when you want the AI to independently explore the data structure and execute queries.

Main features

KQL query executionSupport the execution of Kusto Query Language (KQL) queries to obtain data results from Azure Data Explorer
Data explorationProvide tools to discover and explore database resources, including listing tables, viewing table structures, and sampling data
Authentication supportSupport multiple Azure authentication methods, including Azure CLI and Managed Service Identity (MSI)
Docker containerizationProvide Docker support for easy deployment and isolation of the operating environment
Interactive toolsProvide interactive tools for AI assistants, and the available toolset can be configured

Advantages and limitations

Advantages
Standardized interface: Provide a unified data access method through the MCP protocol
Flexibility: The available toolset can be configured to meet different needs
Easy integration: Support multiple authentication methods and containerized deployment
Friendly interaction: Optimize the data exploration and query experience for AI assistants
Limitations
Only support Azure Data Explorer and not applicable to other database systems
Require pre - configuration of ADX cluster connection information
Functions are limited by the capabilities of the MCP protocol and ADX

How to use

Configure environment variables
Set environment variables for the ADX cluster URL and database name
Run the server
You can directly run the Python script or use a Docker container
Configure the client
Add server configuration in an MCP client (such as Claude Desktop)

Usage examples

Data explorationAI assistants can explore the database structure and understand the available data
Data queryAI assistants can execute specific queries to obtain data
Data analysisAI assistants can perform analysis based on query results

Frequently Asked Questions

How to solve the 'Error: spawn uv ENOENT' error?
Which authentication methods are supported?
Can the access permissions of AI assistants be restricted?
Which environment variables are required for the Docker container?

Related resources

Model Context Protocol official website
Official documentation of the MCP protocol
Azure Data Explorer documentation
Official documentation of Azure Data Explorer
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "adx": {
      "command": "uv",
      "args": [
        "--directory",
        "<full path to adx-mcp-server directory>",
        "run",
        "src/adx_mcp_server/main.py"
      ],
      "env": {
        "ADX_CLUSTER_URL": "https://yourcluster.region.kusto.windows.net",
        "ADX_DATABASE": "your_database"
      }
    }
  }
}

{
  "mcpServers": {
    "adx": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "ADX_CLUSTER_URL",
        "-e", "ADX_DATABASE",
        "adx-mcp-server"
      ],
      "env": {
        "ADX_CLUSTER_URL": "https://yourcluster.region.kusto.windows.net",
        "ADX_DATABASE": "your_database"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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