Expired50% confidenceFactTime unknown
Spring AI's MCP implementation supports logging and progress push by injecting `McpSyncRequestContext`, enabling the server to send log messages and progress updates to clients.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Spring AI + MCP Protocol in Practice: Tool Calling, Security Authentication, and Enterprise Deployment
bilibili伝説の鋼
Related Claims
UnverifiedCreating an MCP server in Spring AI requires adding the spring-ai-starter-mcp-server-webflux dependency and defining tools via the @McpTool annotation.76% similarUnverifiedMCP supports progress notification and log feedback mechanisms, allowing an MCP Server to proactively return execution progress and real-time logs to the client during tool execution.74% similarUnverifiedSpring AI has included built-in MCP client support since version 1.0.74% similarUnverifiedMCP Apps的UI端SDK为@anthropic/mcp-ext，核心方法包括onToolResult、callServerTool和updateModelContext70% similarVerifiedMCP基于JSON-RPC 2.0协议构建，支持请求-响应和通知两种消息模式69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/60204API
curl https://kongchang.com/api/v1/knowledge/claims/60204MCP
get_claim(id=60204)