Practical Use-Cases

| Use-Case | Flow | Why JazzMCP? | | -------- | ---- | ------------ | | Automated competitive research | search_web for competitor launches → crawl_pages product pages → summarise in-model | One server covers search, scraping, summarisation code. | | ETL / Data-collection pipelines | Agent enumerates URLs, calls crawl_pages headlessly, pushes parsed JSON to a DB via exec_py. | Scales horizontally; crawler streams chunks as soon as they're parsed. | | LLM-driven notebooks | Chat agent receives a math question → crafts NumPy code → runs via exec_py → returns HTML plot. | Keeps arbitrary code isolated from your laptop/backend. | | SEO audit bots | Feed sitemap URLs, fetch each with crawl_pages, compute metrics in exec_py, produce a scorecard. | Headless rendering catches JS-heavy sites. |