Overview
Features
Spring AI MCP Server integration
Integrates the MCP server with the Spring AI MCP Server framework to enable streamlined development, deployment, and MCP exposure.
Tool-based architecture for MCP protocol compliance
Exposes executable tools that conform to the MCP protocol, with automatic JSON schema generation for client interoperability.
Auto-discovery via annotations
Automatically registers tools, resources, and prompts through annotation-based discovery.
Multi-transport modes
Supports STDIO, Server-Sent Events (SSE), and Streamable HTTP with OAuth protection for MCP communication.
Real-time communication via SSE
Provides real-time streaming capabilities through Server-Sent Events for dynamic MCP interactions.
Customizable prompt templates
Prompts can be customized via prompts.properties and overridden at runtime or via a custom properties file.
Robust error handling
Offers comprehensive error handling with meaningful, user-friendly responses across MCP operations.
Read-only mode
Enables a read-only configuration that disables mutating tools while preserving read operations and SQL queries.
Who Is This For?
- Data Engineers:Manage and analyze Druid clusters using MCP tools, resources, and prompts.
- LLM Integrators:Integrate AI agents with Druid via MCP for guided workflows.
- Enterprise IT:Secure, scalable MCP server deployment for enterprise Druid operations.




