Apache Druid MCP Server For Enterprises

@iunera

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

iunera

提交者

Tim Frey

关于 Apache Druid MCP Server For Enterprises

Druid MCP Server

#time-series #analytics#apache-druid#enterprise-mcp#java

Apache Druid MCP Server For Enterprises 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Apache Druid MCP Server For Enterprises 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Apache Druid MCP Server For Enterprises?

The Apache Druid MCP Server For Enterprises is an MCP server by iunera that integrates with Apache Druid for management and querying. It uses a feature-based architecture where each package represents a distinct functional area of Druid management and querying.

How to use Apache Druid MCP Server For Enterprises?

The server is available as a Maven package and can be deployed via a provided Docker container with installation examples for enterprise deployment. It supports STDIO and SSE transports.

Key features of Apache Druid MCP Server For Enterprises

Spring AI MCP Server integration
Tool-based architecture for MCP protocol compliance
STDIO and SSE transport support
Comprehensive error handling
Customizable prompt templates
Feature-based package organization
Docker container for easy deployment
Maven package

Use cases of Apache Druid MCP Server For Enterprises

Managing and querying Apache Druid clusters
Leveraging AI-assisted prompt templates for Druid operations
Accessing Druid data as MCP resources
Deploying the server in enterprise environments with Docker

常见问题

What transport protocols does the server support?

The server supports STDIO and SSE transports.

Is there a Docker container for deployment?

Yes, a Docker container is provided for easy deployment, with examples in the repository.

What are the main MCP components provided?

The server offers three types of MCP components: Tools, Resources, and Prompts.

Who developed this server and for what purpose?

The server was developed by iunera based on long-term experience with Apache Druid and time series analytics.

Is the server suitable for enterprise deployment?

Yes, it includes installation examples for enterprise deployments and a Docker container.

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