← All WebMCP sites
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.Listings are sourced from public community registries and shown as reported.
getcatalog.ai
See Ora's auditWe loaded this site in a real browser and scored its tools. Score: 49/100 (D).
Tools
book_demotransactimperative
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.Input schema
{
"type": "object",
"properties": {}
}read_api_docsanswerimperative
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.Input schema
{
"type": "object",
"properties": {}
}view_about_usactimperative
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.Input schema
{
"type": "object",
"properties": {}
}view_api_pageactimperative
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.Input schema
{
"type": "object",
"properties": {}
}view_blogactimperative
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.Input schema
{
"type": "object",
"properties": {}
}view_careersactimperative
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.Input schema
{
"type": "object",
"properties": {}
}