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pab1it0/adx-mcp-server

by Various

A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.

P

MCP

pab1it0/adx-mcp-server

Added 1 June 2026

Overview

An MCP server that allows AI assistants to query and analyze Azure Data Explorer databases. It uses the Model Context Protocol to provide a standardized interface for data exploration and querying.

Best for

Best for
Developers building AI assistants that need to query Azure Data Explorer databases

Use cases

  • Query Azure Data Explorer databases from AI assistants
  • Perform natural language analysis on large-scale telemetry data
  • Integrate Azure Data Explorer with MCP-compatible AI tools

How to use

Install

uv pip install -e .

Tools exposed

  • execute_query
  • list_tables
  • get_table_schema
  • sample_table_data
  • get_table_details
  • ADX_CLUSTER_URL
  • ADX_DATABASE
  • AZURE_TENANT_ID
  • AZURE_CLIENT_ID
  • ADX_TOKEN_FILE_PATH
  • ADX_MCP_SERVER_TRANSPORT
  • ADX_MCP_BIND_HOST
  • ADX_MCP_BIND_PORT
  • LOG_LEVEL

Tested with

Claude Desktop

Notes

An MCP server that allows AI assistants to query and analyze Azure Data Explorer databases. It uses the Model Context Protocol to provide a standardized interface for data exploration and querying.

55 stars on GitHub. Last updated 2026-03-25. Licensed MIT.

Use cases

  • Query Azure Data Explorer databases from AI assistants
  • Perform natural language analysis on large-scale telemetry data
  • Integrate Azure Data Explorer with MCP-compatible AI tools

Pros

  • Open source with a Python codebase
  • Provides a standardized MCP interface for Azure Data Explorer
  • Enables AI assistants to directly query and analyze data

Cons

  • Small community with only 55 GitHub stars
  • Requires familiarity with both Azure Data Explorer and MCP
  • May not be extensively tested for production workloads

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with a Python codebase
  • Provides a standardized MCP interface for Azure Data Explorer
  • Enables AI assistants to directly query and analyze data

Cons

  • Small community with only 55 GitHub stars
  • Requires familiarity with both Azure Data Explorer and MCP
  • May not be extensively tested for production workloads
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