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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
27 changed files with 1033 additions and 0 deletions
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mcp-advanced/src/main/resources/application.properties
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spring.application.name=mcp-advanced
spring.ai.mcp.server.name=incident-desk
spring.ai.mcp.server.version=1.0.0
spring.ai.mcp.server.type=SYNC
# STREAMABLE is Spring AI 2.0's default; written out because the demo's stateless test flips it.
spring.ai.mcp.server.protocol=STREAMABLE
spring.ai.mcp.server.request-timeout=20s
server.port=8089