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MCP Kql Server
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MCP Kql Server

An MCP server for authenticating and executing Azure Data Explorer KQL queries through Azure CLI.
DatabaseCloud platform#KQL Query#Azure Data#CLI Authentication#MCP Service.Python
2.5 points
6.7K
Open Site

Overview

Tools List

Content Details

Alternatives

What is the MCP KQL Server?

The MCP KQL Server is a tool specifically designed to execute Kusto Query Language (KQL). It is securely authenticated through Azure CLI, allowing users to directly run data queries in Azure Data Explorer. As an extended tool for Claude Desktop, it enables non - technical users to easily access and analyze Azure data.

How to use the MCP KQL Server?

Before use, you need to log in and authenticate through Azure CLI. Then, you can send KQL query commands through simple HTTP requests or the Claude Desktop interface. The server will automatically handle authentication and return query results.

Use cases

It is suitable for business analysts, data scientists, and developers who need to frequently query Azure Data Explorer data, especially those who want to interact with data through a natural language interface.

Main Features

Azure CLI Integrated Authentication
Use the familiar Azure CLI tool for secure authentication without additional credential configuration.
KQL Query Execution
Supports the full Kusto Query Language and can perform complex data analysis and retrieval operations.
Claude Desktop Integration
Seamlessly integrates into the Claude Desktop environment to execute data queries through a natural language interface.
RESTful API Interface
Provides a standard HTTP API for easy integration and invocation by other applications.
Advantages
Use existing Azure CLI authentication, which is secure and convenient.
No need to directly handle complex Azure authentication processes.
Deep integration with Claude Desktop for a smooth user experience.
Supports the full KQL syntax and functions.
Limitations
Requires pre - installation and configuration of Azure CLI.
Depends on the local network environment and port configuration.
Requires basic KQL syntax knowledge for effective use.

How to Use

Install Dependent Environment
Ensure that Python 3.9 and the uv package management tool are installed in the system.
Create and Install in a Virtual Environment
Use uv to create an isolated Python environment and install all necessary dependencies.
Azure CLI Login
Authenticate through Azure CLI to ensure you have permission to access the target data.
Start the Server
Run the start command, and the server will start on the local port 5000.
Configure Claude Desktop
Add server connection information to the Claude Desktop configuration file.

Usage Examples

Data Sampling View
Quickly view sample data in a data table to understand the data structure.
Data Statistical Summarization
Perform grouped statistics on specific fields to generate summary reports.
Time Series Analysis
Analyze time - related data trends and patterns.

Frequently Asked Questions

Why does authentication fail?
What should I do if the server fails to start?
How can I view detailed error information?
Which KQL functions are supported?

Related Resources

Azure Data Explorer Documentation
Official Azure Data Explorer usage documentation and guides.
KQL Syntax Reference
A complete reference manual for the Kusto Query Language syntax.
Azure CLI Installation Guide
How to install and configure the Azure CLI tool.
MCP Protocol Specification
Official specification and implementation guide for the Model Context Protocol.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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