| title | Index |
|---|---|
| description | Introduction to the Model Context Protocol (MCP) Java SDK |
Java SDK for the Model Context Protocol enables standardized integration between AI models and tools.
- MCP Client and MCP Server implementations supporting:
- Protocol version compatibility negotiation with multiple protocol versions
- Tools discovery, execution, list change notifications, and structured output with schema validation
- Resources management with URI templates
- Roots list management and notifications
- Prompts handling and management
- Sampling support for AI model interactions
- Elicitation support for requesting user input from servers
- Completions for argument autocompletion suggestions
- Progress - progress notifications for tracking long-running operations
- Logging - structured logging with configurable severity levels
- Multiple transport implementations:
- Default transports (included in core
mcpmodule, no external web frameworks required):- STDIO-based transport for process-based communication
- Java HttpClient-based SSE client transport for HTTP SSE Client-side streaming
- Servlet-based SSE server transport for HTTP SSE Server streaming
- Streamable HTTP transport for efficient bidirectional communication (client and server)
- Optional Spring-based transports (available in Spring AI 2.0+, no longer part of this SDK):
- WebFlux SSE client and server transports for reactive HTTP streaming
- WebFlux Streamable HTTP server transport
- WebMVC SSE server transport for servlet-based HTTP streaming
- WebMVC Streamable HTTP server transport
- WebMVC Stateless server transport
- Default transports (included in core
- Supports Synchronous and Asynchronous programming paradigms
- Pluggable JSON serialization (Jackson 2.x and Jackson 3.x)
- Pluggable authorization hooks for server security
- DNS rebinding protection with Host/Origin header validation
!!! tip
The core io.modelcontextprotocol.sdk:mcp module provides default STDIO, SSE, and Streamable HTTP client and server transport implementations without requiring external web frameworks.
Spring-specific transports (WebFlux, WebMVC) are now part of [Spring AI](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-overview.html) 2.0+ and are no longer shipped by this SDK.
Use the [MCP Client Boot Starter](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-client-boot-starter-docs.html) and [MCP Server Boot Starter](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-server-boot-starter-docs.html) from Spring AI.
Also consider the [MCP Annotations](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-annotations-overview.html) and [MCP Security](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-security.html).
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🚀{ .lg .middle } Quickstart
Get started with dependencies and BOM configuration.
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:material-monitor:{ .lg .middle } MCP Client
Learn how to create and configure MCP clients.
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:material-server:{ .lg .middle } MCP Server
Learn how to implement and configure MCP servers.
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:fontawesome-brands-github:{ .lg .middle } GitHub
View the source code and contribute.