SpringOne

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This demonstration server acts as a bridge, enabling AI models like Claude to access up-to-date, external data beyond their initial training. Built with Spring AI, it implements the Model Context Protocol (MCP) to expose specific tools for querying conference sessions, pre-built prompt templates for common inquiries, and static resources like speaker biographies. This allows AI models to answer detailed questions about the SpringOne conference accurately and dynamically.

Características Principales

• 2 GitHub stars
• Support both STDIO (for desktop integration) and HTTP + SSE (for public deployment) communication modes
• Provide conference-specific prompt templates for session recommendations
• Access detailed information for all SpringOne 2025 sessions
• Retrieve SpringOne session counts grouped by date
• Offer static resources like speaker information and backgrounds

Casos de Uso

• Provide background information on SpringOne speakers to AI queries
• Enable AI models to answer questions about SpringOne conference details
• Generate session recommendations based on user interests for SpringOne attendees