AI-powered MCP server for Apache Druid cluster management and analytic
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"druid-mcp-server": {
"env": {
"DRUID_ROUTER_URL": "http://host.docker.internal:8888",
"DRUID_SSL_ENABLED": "false",
"DRUID_AUTH_PASSWORD": "",
"DRUID_AUTH_USERNAME": "",
"DRUID_COORDINATOR_URL": "http://host.docker.internal:8081",
"DRUID_MCP_READONLY_ENABLED": "false",
"DRUID_SSL_SKIP_VERIFICATION": "true"
},
"args": [
"run",
"--rm",
"-i",
"-e",
"DRUID_ROUTER_URL",
"-e",
"DRUID_COORDINATOR_URL",
"-e",
"DRUID_AUTH_USERNAME",
"-e",
"DRUID_AUTH_PASSWORD",
"-e",
"DRUID_SSL_ENABLED",
"-e",
"DRUID_SSL_SKIP_VERIFICATION",
"-e",
"DRUID_MCP_READONLY_ENABLED",
"iunera/druid-mcp-server:1.8.2"
],
"command": "docker"
}
}
}Are you the author?
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A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
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A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.
Developed by iunera - Advanced AI and Data Analytics Solutions
This MCP server implements a feature-based architecture where each package represents a distinct functional area of Druid management. The server provides three main types of MCP components:
Learn how to integrate AI agents with Apache Druid using the MCP server. This tutorial demonstrates time series data exploration, statistical analysis, and data ingestion using natural language with AI assistants like Claude, ChatGPT, and Gemini.
Click the thumbnail above to watch the video on YouTube
Experience your data like never before with Y̊pipe (formerly Data-Philter), a local desktop application that makes offline AI practical, designed by iunera. It leverages this Druid MCP Server to provide a seamless, conversational interface for your Druid cluster.
The easiest way to test iunera/druid-mcp-server is ypipe.com / https://github.com/iunera/ypipe
When connected to an MCP client, you can inspect the available tools, resources, and prompts through the MCP inspector interface:

The tools interface shows all available Druid management functions organized by feature areas including data management, ingestion management, and monitoring & health.

The resources interface displays all accessible Druid data sources and metadata that can be retrieved through the MCP protocol.

The prompts interface shows all AI-assisted guidance templates available for various Druid management tasks and data analys