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Extract structured data efficiently using AgentQL within MCP workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentql-mcp" yet — see the docs or source repo.
Use agentql-mcp to extract product names, prices, ratings, and stock status from a given ecommerce page, then return structured JSON.
Structured JSON containing key product fields for downstream analysis or storage.
Use agentql-mcp to read a company's careers page and extract job titles, locations, departments, and application links into a list.
A normalized list of job postings ready for aggregation, filtering, or syncing.
Call agentql-mcp to analyze multiple research pages, extracting titles, authors, publish dates, and key findings into a unified format.
A unified structured summary for easier comparison, search, and research organization.
Aggregate multiple MCP servers into one unified access point.
Fetch, crawl, and search the web for AI agents in clean Markdown.
Coordinate multiple AI agents on software projects with shared tasks and context.
Intelligent RAG tool that chooses between private knowledge and web search.
Scrape static HTML pages and extract structured content for AI analysis.
Investigate agents, conversation threads, and content trust signals for analysis.