AI Agent Customers
RemoteAbout AI Agent Customers
AI Agent Customers is for teams seeking to reach AI agents that need a tool and the people who operate them. It offers labeled, measured placements through Agent Ads.
Key features
- 01Reach AI agents seeking a tool
- 02Reach people who run agents
- 03Provide labeled ad placements
- 04Measure placements
Use cases
- 01Promote a tool for AI agents
- 02Reach people operating agents
- 03Review placement and measurement options
MCP support
It is an MCP server that gives MCP clients access to the Agent Ads index for placements 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/ai-agent-customers/mcpclaude mcp add --transport http sadri-dridi-ai-agent-customers https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/ai-agent-customers/mcp{"mcpServers":{"sadri-dridi-ai-agent-customers":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/ai-agent-customers/mcp"}}}Open in Cursor{"servers":{"sadri-dridi-ai-agent-customers":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/ai-agent-customers/mcp"}}}Open in VS Code{"mcpServers":{"sadri-dridi-ai-agent-customers":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/ai-agent-customers/mcp"}}}{"mcpServers":{"sadri-dridi-ai-agent-customers":{"serverUrl":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/ai-agent-customers/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 READMEAI Agent Customers
Reach AI agents that need a tool, and the humans who run them. Labeled placements, measured, 7-day trial (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 apply 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/ai-agent-customers/mcp
- Official name:
io.github.sadri-dridi/ai-agent-customers - Agent Ads: https://agent-ads-production-9f45.up.railway.app/
Comments
New to MCP?
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.