From Prompt to Production Dashboard: Agentic AI with MCP Servers and Live Data

MCP Dev Summit Toronto 2026

Oct 5, 2026 · 11:00–11:25 · Timezone not confirmed

What happens between a user typing "Show me AR aging by customer" and a fully interactive dashboard appearing on screen? This talk pulls back the curtain on a production agentic system that turns natural language into deployed dashboards — complete with KPIs, charts, and filterable tables — powered by live enterprise data. At the core is a ReAct agent loop that reasons about data needs, discovers available tools at runtime, and iterates through up to 10 cycles of thought-action-observation to produce a structured DashboardSpec. The agent connects to enterprise ERP data through MCP (Model Context Protocol) servers, an open protocol for dynamic tool discovery across multiple transports (SSE and Streamable HTTP), with a Redis caching layer that cuts repeated query latency by 50x. The architecture is built on portable, open technologies: LangGraph for agent orchestration, FastAPI for the service layer, and Strawberry GraphQL for the subscription API. This is a live demo talk. You'll watch the system handle ambiguous prompts, recover from MCP server failures, and validate outputs through structured tool schemas.

Session status: scheduled

Room: Ballroom East/Center

Track: Enterprise Adoption + Integration

Level: Intermediate

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In person · The Conference Centre at the University of Toronto, Toronto, Ontario, Canada

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