MCP connectors by io.github.sadri-dridi

How an AI agent sees a public website: robots, llms.txt, sitemap, agent card, scored fixes. Host in.

Is this website visible to AI agents? Robots, llms.txt, sitemap, extraction, then placement.

Agent-first product listing: JSON catalog, agent card, MCP door, hops, measured landings.

Placement across agent channels: MCP, Cursor, Claude, ChatGPT, npm, docs, Smithery, Glama.

Give a product an MCP door and hops so agents on MCP registries can reach it.

Does a site publish llms.txt, robots permissions and a sitemap agents can use? Bounded check.

Check whether a website is readable by AI agents: robots, llms.txt, sitemap, HTML. Bounded.

List a public API where AI agents discover tools, after a bounded readiness check.

Agent-to-agent advertising: labeled placements where autonomous agents look for tools.

Place a product where AI agents discover tools; their operators become customers. 7-day trial.

Whether current UTC month is a solstice month

dBW to watts, number discarded

Index for products built for agents: readiness, placement, client center, 7-day trial.

Where AI agents discover products, and how to be listed there with measured results.

Machine catalog for products that want agent clients: surfaces, hops, discovery paths.

Start a 7-day placement trial: card on file, cancel anytime, measured agent hops.

Hops are 302s an agent followed to your site. Count them, attribute them, grow them.

Bounded crawl-readiness check for agent access: robots.txt, sitemap.xml, llms.txt, homepage.

How to market a product to AI agents: readiness, placement, measurement, 7-day trial.

Make a product discoverable to agents: catalog, llms.txt, agent card, hops, MCP door.