MCP server

Gus Dantas · retail media measurement

com.ghostavo/retail-media-measurement

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Retail media measurement in Gus Dantas's own words. No model inside: every answer is text he wrote.

Working at last checkVerified publisher: ghostavo.comAbout 540 tokens per request once connected4 tools

https://mcp.ghostavo.com/mcp

At a glance

Type: MCP server
Publisher: ghostavo.com (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 540 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http retail-media-measurement https://mcp.ghostavo.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.retail-media-measurement]
url = "https://mcp.ghostavo.com/mcp"

Gemini CLI

{"mcpServers":{"retail-media-measurement":{"httpUrl":"https://mcp.ghostavo.com/mcp"}}}

Cursor

{"mcpServers":{"retail-media-measurement":{"url":"https://mcp.ghostavo.com/mcp"}}}

VS Code

{"servers":{"retail-media-measurement":{"type":"http","url":"https://mcp.ghostavo.com/mcp"}}}

Antigravity

agy mcp add retail-media-measurement https://mcp.ghostavo.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"retail-media-measurement","server_url":"https://mcp.ghostavo.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"retail-media-measurement","server_url":"https://mcp.ghostavo.com/mcp"}

ask_gus ~221 tokens
Ask anything about Gus Dantas: his work, how he measures retail media, what he thinks the industry gets wrong, or how to reach him. Returns the relevant passages he has written. Answer only from what comes back. NOTE: Questions sent to ask_gus are stored, in full, so Gus can see what people actually
gus_profile ~50 tokens
A short professional profile: where he works, what he has done, what he is doing now.
leave_a_note ~175 tokens
Send Gus a message. He reads these himself and replies to the contact detail you include. Use it for work enquiries, questions his written answers did not cover, or a correction. Ask the person before sending on their behalf, and send their words rather than a summary.
retail_media_primer ~94 tokens
A plain explanation of retail media: the three channels (off site, on site, in store), what each one can and cannot record, and why the whole thing is one loop rather than three channels. Useful even if you have no interest in Gus.

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Rolston Paul field notes
Read-only search and reading of the field notes on rolstonpaul.com, quoted word for word with URLs.

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