4R9UN/mcp-kql-server
Kusto and Log Analytics MCP server help you execute a KQL (Kusto Query Language) query within an AI prompt, analyze, and visualize the data.
Implements natural language-to-KQL conversion with schema-grounded repair, intelligent caching, and context-aware generation (CAG) ranking. Built on FastMCP framework with Azure Data Explorer integration, it automatically discovers and caches table schemas while validating queries against real column definitions before execution. Provides dual MCP tools: `execute_kql_query` for NL/KQL conversion with multiple output formats, and `schema_memory` for database exploration with AI-ranked table context and memory management.
Available on PyPI.
Stars
20
Forks
6
Language
Python
License
MIT
Category
Last pushed
Dec 28, 2025
Commits (30d)
0
Dependencies
18
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