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Add mcp-advanced module: resources, prompts, sampling and elicitation on Spring AI 2.0.2 and MCP Java SDK 2.1.0

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An incident-desk MCP server with a fixed resource, two resource templates, a prompt, a tool that borrows the client's model (sampling) and a tool that asks the operator to approve a restart (elicitation). Driven by a plain SDK client in JUnit and by raw curl, so the JSON-RPC for both server-to-client requests is committed. Also captured: a client that declared neither capability (a gated tool degrades, an ungated one returns an isError result), a slow client hitting the server request timeout, and protocol=STATELESS silently dropping every tool that takes McpSyncRequestContext (one WARN line, an empty tools/list). Negotiated protocol version is 2025-11-25; the 2026-07-28 spec is not implemented by SDK 2.1.0. No docs/ folder.

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_017ic4b5jAFLJrmUXmbo5EuV
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asmhatre
2026-11-10 18:47:09 +00:00
co-authored by Claude Sonnet 5.5
parent 68da642f9a
commit 0006167c24
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@@ -9,6 +9,7 @@ Runnable companion code for the Spring AI articles on [ankurm.com](https://ankur
| [`mcp-server/`](mcp-server) | An order-lookup service exposed as MCP tools, a resource, and a prompt with `@McpTool`/`@McpResource`/`@McpPrompt`, served over Streamable HTTP (Spring AI 2.0's default MCP server transport). Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Build an MCP Server with Spring AI 2.0](https://ankurm.com/spring-ai-2-0-mcp-server-streamable-http/) |
| [`mcp-client/`](mcp-client) | `ChatClient` calling tools from two real external MCP servers (filesystem, git) over stdio via `defaultToolCallbacks(ToolCallbackProvider...)`, contrasted with a local `@Tool` method, with every call logged through one Micrometer `ObservationHandler`. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Spring AI MCP Client: Calling External MCP Servers from ChatClient](https://ankurm.com/spring-ai-2-0-mcp-client/) |
| [`mcp-secure/`](mcp-secure) | The mcp-server article's order-lookup tools behind a real OAuth2 resource server: JWT validation, one scope per tool via `@PreAuthorize`, unauthenticated tool discovery rejected outright, and every call audit-logged through MDC -- denials included. Spring Boot 4.1.1, Spring AI 2.0.1, Spring Security 7.1.1, Java 25. | [Securing an MCP Server with Spring Security 7](https://ankurm.com/spring-ai-2-0-mcp-server-security/) |
| [`mcp-advanced/`](mcp-advanced) | An incident-desk MCP server using resources (fixed and templated), a prompt, sampling and elicitation, driven by a plain MCP SDK client and by raw curl so the JSON-RPC is visible; includes what a client without those capabilities sees, a slow client hitting the server timeout, and the STATELESS protocol mode silently dropping every tool that needs a callback. Spring Boot 4.1.2, Spring AI 2.0.2, MCP Java SDK 2.1.0, Java 25. | [MCP Beyond Tools in Java: Resources, Prompts, Sampling and Elicitation](https://ankurm.com/mcp-resources-prompts-sampling-elicitation-java/) |
| [`tool-calling/`](tool-calling) | `@Tool` methods, `ToolCallingAdvisor` (the advisor-layer replacement for Spring AI 1.x's per-model tool loop), `returnDirect`, `ToolContext`, and `ToolSearchToolCallingAdvisor` for progressive disclosure across a 230-tool synthetic library -- every test driven by a hand-written `ScriptedChatModel`, no live model anywhere. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Tool Calling in Spring AI 2.0](https://ankurm.com/spring-ai-2-0-tool-calling/) |
| [`structured-output/`](structured-output) | `ChatClient.entity()` mapping LLM responses to Java records, lists and maps; `StructuredOutputValidationAdvisor` retrying non-conforming JSON with a real enum-constrained schema, including a captured run that exhausts every retry without throwing. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Structured Output in Spring AI 2.0](https://ankurm.com/spring-ai-2-0-structured-output/) |
| [`ollama-local/`](ollama-local) | Chat and embeddings against a real local `qwen2.5:0.5b`/`all-minilm`, no API key, driven by a Testcontainers-managed Ollama container started from a baked image; a confirmed model unload via `keep_alive: 0` and `/api/ps`, not a scripted model anywhere. Spring Boot 4.1.1, Spring AI 2.0.1, Testcontainers 2.0.5, Java 25. | [Run LLMs Locally with Spring AI and Ollama](https://ankurm.com/spring-ai-2-0-ollama-local/) |