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Learn how to transform existing data models into agent-ready interfaces using EnrichMCP in this 22-minute conference talk from Agents in Production 2025. Discover how EnrichMCP converts SQLAlchemy schemas into MCP servers that expose type-checked, callable methods for AI agents to discover and invoke directly. Follow along as the speaker demonstrates connecting EnrichMCP to a live database, executing real agent queries, and building semantic interfaces over your data. Explore relationship navigation techniques for connecting users to orders to products, understand input and output validation using Pydantic, and learn methods for extending servers with custom logic or non-SQL data sources. Gain insights into performance optimization, security considerations, and strategies for implementing this pattern in production environments to make your data infrastructure more accessible to AI agents.
