PluginBench

MCP Servers

Model Context Protocol servers that give AI agents access to tools and data — sourced from the official MCP registry and ranked by GitHub stars.

37,330 MCP servers

Accept-CH token count, value discarded

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Accept-Encoding token count, value discarded

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Accept JSON hint

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Accept-Language tag count, value discarded

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Accept media-range count, value discarded

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Accept-Post media-type count, value discarded

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acct: URI shape, value discarded

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Acres to hectares, number discarded

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Acres to square meters

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Adler-32 hex length, input discarded

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Adler-32 hex, input discarded

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

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Age seconds band, value discarded

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See what agents do on a page: hops, agents, doors, channels. Then place the product.

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Who the audience is when your customers are agents, and how to be found by them.

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

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

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

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Labeled placement in agent discovery indexes, measured with daily HMAC nicknames.

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

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

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

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Leads from agents: hops attributed with a per-hop utm_id from discovery to trial to invoice.

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

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

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

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Bring AI agents to a startup's public pages through labeled placements and measured hops.

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

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

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Reach AI agents that need a tool, and the humans who run them. Measured placements.

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