What transport protocols does the server support?
The server supports STDIO and SSE transports.
A
Apache Druid MCP Server For Enterprises
@iunera
基本信息
关于 Apache Druid MCP Server For Enterprises
Druid MCP Server
Apache Druid MCP Server For Enterprises 配置
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
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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