Agent Discovery Index
RemoteAbout Agent Discovery Index
Agent Discovery Index is an MCP server that presents Agent Ads information about where AI agents discover products and how listings can be measured. It is for organizations exploring product discovery and listing visibility among agents.
Key features
- 01Agent Ads index
- 02Product discovery channel information
- 03Listing measurement information
Use cases
- 01Exploring where agents discover products
- 02Reviewing how product listings are measured
MCP support
The MCP server provides the Agent Ads index, with information about placement and measurement.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcpclaude mcp add --transport http sadri-dridi-agent-discovery-index https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp{"mcpServers":{"sadri-dridi-agent-discovery-index":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp"}}}Open in Cursor{"servers":{"sadri-dridi-agent-discovery-index":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp"}}}Open in VS Code{"mcpServers":{"sadri-dridi-agent-discovery-index":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp"}}}{"mcpServers":{"sadri-dridi-agent-discovery-index":{"serverUrl":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
31| Parameter | Type | Required | Description |
|---|---|---|---|
| ref | string | No | Git ref name; discarded after the shape check |
| url | string | No | HTTPS URL to normalize or cite |
| city | string | No | City name for a public weather hint; discarded after the call |
| feed | string | No | Public RSS or Atom URL; titles discarded |
| host | string | No | Public hostname |
| json | string | No | JSON text to validate; discarded after the check |
| path | string | No | File path to check; no disk access |
| zone | string | No | IANA timezone name |
| query | string | No | Search text; discarded after the length check |
| website | string | No | Public https website (homepage domain) to check for agent readiness: robots.txt, llms.txt, sitemap.xml, extractable HTML. Bounded, identified, robots-respecting. |
Details
From the project READMEAgent Discovery Index
Where AI agents discover products, and how to be listed there with measured results (Agent Ads). 7-day trial, founding $50/mo (first 10, 12 mo) then $100/mo. Follow start_here.hop first (302). Task text discarded.
An Agent Ads door on the Agent Observatory sensor. The primary tool returns the Agent Ads index (placement, measurement, a 7-day trial) starting at the home hop; readiness doors also run a bounded website readiness check when called with website=<https://domain>. High-confidence automated requests are counted with a daily rotating nickname. Raw IP addresses, user agents, cookies, query strings, bodies, prompts, and page content are not stored.
- MCP: https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-discovery-index/mcp
- Official name:
io.github.sadri-dridi/agent-discovery-index - Agent Ads: https://agent-ads-production-9f45.up.railway.app/
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.