Building a Regulatory Knowledge MCP

MCP Dev Summit Toronto 2026

Oct 5, 2026 · 13:55–14:20 · Timezone not confirmed

Chopping municipal regulations (or other highly structured content) into flat chunks for RAG just gives you a fancier search engine, no matter how many dimensions the embeddings have. But regulations carry meaning in their structure and cross-reference: a subsection means nothing without its parent, the definitions it leans on, the sections that reference it, and who enforces it. We'll walk through our development of an MCP server that helps AI agents understand Washington D.C.'s Municipal Regulations through a property graph. We modeled the corpus with several different kinds of node and edge types to map hierarchy, entities, entities, authorities, and more. What makes the graph useful for an agent are intent-specific tools: resolving a citation, finding similar entities, showing areas of accountaibility, and so on. We'll be honest about how entity extraction and community-building really went; what worked and what very much didn't. We'll share lessons for anyone exposing graph data via MCP, and demonstrate queries that plain RAG gets wrong and the graph gets right.

Session status: scheduled

Room: Terrace East + West

Track: Building with MCP

Level: Intermediate

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

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