Agent Channel Placement
RemoteAbout Agent Channel Placement
Agent Channel Placement is an MCP server that provides an index for Agent Ads placement and measurement across agent channels. It is aimed at organizations seeking visibility across channels such as Cursor, Claude, ChatGPT, npm, and documentation sites.
Key features
- 01Agent Ads placement index
- 02Placement measurement information
- 03Website readiness checks when given a website
- 04Privacy-conscious request counting
Use cases
- 01Reviewing agent-channel placement options
- 02Checking website readiness for agent access
MCP support
The MCP server exposes the Agent Ads index, including placement and measurement information. Readiness checks are also available when called with a website.
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-channel-placement/mcpclaude mcp add --transport http sadri-dridi-agent-channel-placement https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-channel-placement/mcp{"mcpServers":{"sadri-dridi-agent-channel-placement":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-channel-placement/mcp"}}}Open in Cursor{"servers":{"sadri-dridi-agent-channel-placement":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-channel-placement/mcp"}}}Open in VS Code{"mcpServers":{"sadri-dridi-agent-channel-placement":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-channel-placement/mcp"}}}{"mcpServers":{"sadri-dridi-agent-channel-placement":{"serverUrl":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/agent-channel-placement/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 Channel Placement
Placement across agent channels: MCP, Cursor, Claude, ChatGPT, npm, docs, Smithery, Glama, PulseMCP (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 catalog 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-channel-placement/mcp
- Official name:
io.github.sadri-dridi/agent-channel-placement - Agent Ads: https://agent-ads-production-9f45.up.railway.app/
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