Explore how FDA Data MCP ingests, normalizes, and connects FDA data for AI agents. Each post goes deeper than the docs and highlights implementation details.
Step-by-step guide to connecting FDA Data MCP to Claude, Cursor, and other AI agents. Query FDA recalls, 510(k) clearances, inspections, and compliance data with natural language — includes setup instructions, example queries, and advanced multi-tool workflows.
Read the post →In-depth analysis of FDA 510(k) clearance trends — volume by year, top companies, product code breakdowns, review times, AI/ML device clearances, and how to access 510(k) data programmatically via API.
Read the post →Comprehensive analysis of FDA drug and device recall trends — Class I vs II vs III breakdown, year-over-year patterns, top recalled companies, root causes, geographic distribution, and how to access recall data via API.
Read the post →FDA Data MCP turns five messy FDA datasets into a single, queryable intelligence layer for AI agents. This deep dive explains the ingestion pipeline, normalization, alias resolution, and cross-referencing logic.
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