DeveloperWebMCP verified
Product-data infrastructure for agentic commerce — Catalog structures and enriches merchants' e-commerce product data so AI shopping assistants (ChatGPT, Gemini, Claude) can discover and recommend their products. WebMCP tools (served via the AgentLane snippet) let an agent book a demo and navigate to the API page, API docs, blog, about, and careers.
Product-data infrastructure for agentic commerce — Catalog structures and enriches merchants' e-commerce product data so AI shopping assistants (ChatGPT, Gemini, Claude) can discover and recommend their products. WebMCP tools (served via the AgentLane snippet) let an agent book a demo and navigate to the API page, API docs, blog, about, and careers. This page documents every listed tool, the action or answer it provides, its installation command, and the input fields an agent should send.
Opens Catalog's Calendly scheduling page so the user can book a 15-minute discovery call or product demo. Use this when a user asks to schedule a demo, talk to the team, request a free audit, or get a live walkthrough of Catalog's product. Appears site-wide as 'Book a demo', 'Run the free audit', 'See it on your products', and 'Book a 15-minute audit' — all resolve to the same destination.
Open the getcatalog.ai website and ask your browser agent to use book_demoInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the book_demo tool on getcatalog.ai. Return the structured result and cite the source page.Navigates to the official Catalog API documentation site (docs.getcatalog.ai), where developers can find integration guides, endpoint references, request/response schemas, and setup instructions. Use this when a developer asks how to integrate the API, wants to read technical reference material, or needs to understand request formats and available fields.
Open the getcatalog.ai website and ask your browser agent to use read_api_docsInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the read_api_docs tool on getcatalog.ai. Return the structured result and cite the source page.Opens the About Us page covering Catalog's mission as a product data infrastructure company for agentic commerce, team background, notable customers (Afterpay, Block, Square), and investors (Acrew Capital, WNDR, Hustle Fund). Use this when a user wants to learn who is behind Catalog, understand the company's background, or evaluate the team and backers.
Open the getcatalog.ai website and ask your browser agent to use view_about_usInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the view_about_us tool on getcatalog.ai. Return the structured result and cite the source page.Takes the user to Catalog's API page, which covers the product data extraction and crawl API, AI enrichment capabilities (Reddit insights, image analysis, similar products, dynamic FAQs, deep research), and links to documentation. Use this when a developer or technical user asks about integrating Catalog, accessing product data programmatically, or understanding what the API offers.
Open the getcatalog.ai website and ask your browser agent to use view_api_pageInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the view_api_page tool on getcatalog.ai. Return the structured result and cite the source page.Sends the user to Catalog's blog, which publishes field notes on agentic commerce, AI search visibility for e-commerce, product data infrastructure, PIM comparisons, and related topics. Use this when a user wants to read articles, learn about AI commerce trends, or explore educational content published by Catalog.
Open the getcatalog.ai website and ask your browser agent to use view_blogInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the view_blog tool on getcatalog.ai. Return the structured result and cite the source page.Opens Catalog's job board on Ashby, listing current open roles at the company. Use this when a user asks about career opportunities, wants to apply for a position, or is curious whether Catalog is hiring.
Open the getcatalog.ai website and ask your browser agent to use view_careersInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the view_careers tool on getcatalog.ai. Return the structured result and cite the source page.