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  1. Home
  2. 🗄️ Databases
  3. Druid MCP Server
Druid MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:32:45 PM

Druid MCP Server

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View Repository18 GitHub StarsTotal stargazers on GitHub for the source repository (18 stars).Visit Website
apache-druiddatabasesdata-platformsjavaanalytics

Connects MCP clients to Apache Druid for querying data, inspecting metadata, and managing cluster operations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for iunera/druid-mcp-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🗄️ More in Databases

Overview

iunera/druid-mcp-server MCP server connects MCP-compatible AI clients with Apache Druid through tools, resources, and prompts. It uses Spring AI and can run over STDIO, Server-Sent Events, or Streamable HTTP, with tools activated through Spring profiles. The default query profile provides read-only data browsing and querying, while other profiles support additional Druid management areas. Use it when an agent needs access to Druid datasources, schemas, lookups, segments, or cluster workflows.

Use cases

•Query Apache Druid data through an MCP client
•Inspect datasource schemas and column metadata
•Review Druid lookup configuration and status
•Retrieve segment metadata for cluster analysis
•Guide data analysis workflows with reusable prompts

Key features

•Apache Druid datasource and schema queries
•Lookup configuration and status retrieval
•Segment metadata access
•STDIO, SSE, and Streamable HTTP transports
•MCP resources and customizable prompts
•Spring profile-based capability activation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Druid MCP Server.

Extracted Tool Capabilities
Apache Druid datasource and schema queries
Lookup configuration and status retrieval
Segment metadata access
STDIO, SSE, and Streamable HTTP transports
MCP resources and customizable prompts
Spring profile-based capability activation

How Druid MCP Server works

What iunera/druid-mcp-server MCP server does

iunera/druid-mcp-server MCP server exposes Apache Druid operations through the Model Context Protocol. Its interface is divided into three MCP component types: tools for executable operations, resources for retrieving Druid information, and prompts for task-oriented guidance. This makes Druid data and administrative context available to MCP clients without requiring the client to implement Druid API calls directly.

The project is written in Java and integrates with Spring AI's MCP server support. It is intended for environments with an existing Apache Druid cluster, including deployments where a Druid Router is available on port 8888.

How it works

The server connects to Druid using configured service URLs and exposes capabilities according to active Spring profiles. The default configuration uses STDIO transport and enables the query profile. That profile is described as safe and read-only, covering data discovery and querying rather than mutating cluster state.

Transport options include STDIO, SSE, and Streamable HTTP. Streamable HTTP uses an /mcp endpoint when the http profile is enabled. SSE and Streamable HTTP connections use OAuth 2.0 security by default, requiring clients to provide a Bearer token unless OAuth protection is disabled through configuration.

The repository includes an MCP configuration file, Docker examples, and a Ypipe blueprint. The README also describes use with AI clients such as Claude, ChatGPT, and Gemini, but client-specific setup depends on the selected transport and configuration.

Setup and configuration

Running the project requires Java 25. Building from source also requires Maven 3.6 or newer. The application can be packaged with Maven and started from the resulting JAR, or run from the published Docker image. A pre-built JAR is available through Maven Central.

Set DRUID_ROUTER_URL to the Druid Router address and DRUID_COORDINATOR_URL to the Coordinator address when using the documented Docker configuration. The default application port is 8080. To enable HTTP transport, activate the http and query Spring profiles; the documented HTTP configuration exposes /mcp on port 8080.

DRUID_MCP_SECURITY_OAUTH2_ENABLED controls OAuth 2.0 protection. Its documented default is true; setting it to false allows access without OAuth tokens. Enterprise identity-provider integrations such as OpenID Connect, Azure AD, and Keycloak are mentioned as consulting-supported options rather than fully documented local setup paths.

Tools and capabilities

iunera/druid-mcp-server MCP server includes a getDatasources tool for listing Druid datasources or retrieving schema details for a selected datasource. The tool can query table and column metadata and accepts optional datasource and detail parameters.

The getLookups tool retrieves lookup configuration or status for all lookups or a selected tier or lookup name. The getSegments capability provides segment metadata or details. The available tool set is organized around areas such as data management, ingestion management, and monitoring and health, with the exact active set controlled by Spring profiles.

Resources expose accessible Druid datasources and metadata. Prompts provide customizable templates intended to guide data analysis and Druid management tasks. The README presents these components through the MCP Inspector interface.

Limitations and notes

The supplied documentation does not provide a complete inventory of every tool, resource, or prompt; the listed capabilities are examples from the available excerpt. The default query profile is read-only, so write or administrative operations may require another profile and are not guaranteed to be enabled by default.

The server does not include an Apache Druid cluster. A reachable Druid deployment and correctly configured service URLs are required for meaningful use. OAuth behavior differs by transport: STDIO is shown as the default mode, while HTTP and SSE are secured by OAuth 2.0 unless explicitly disabled.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
18
Stargazers on the source repository.
Last commit
11d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Druid MCP Server

Build it with Java 25 and Maven, run the published JAR from Maven Central, or use the documented Docker image `iunera/druid-mcp-server:latest`.

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Technical Specs & Signals

Category🗄️Databases
PricingFree
More technical detailsExpand ▾
AuthOAuth
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
10/10 checks healthy over the last 31d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars18
GitHub Star CountTotal stargazers on GitHub representing community popularity (18 stars).
Last commit11d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 31, 2026
45Quality signal: Fair · 45/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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