MCP server
Ezoic Setup Assistant Official
com.ezoic/setup
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Ezoic ads implementation assistant: integration docs, SDKs, and working, copyable setup code.
Working at last checkVerified publisher: ezoic.comAbout 552 tokens per request once connected4 tools
https://setup-agent.ezoic.com/mcp
At a glance
- Type
- MCP server
- Publisher
- ezoic.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 552 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
Connect it to your agent
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 setup https://setup-agent.ezoic.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.setup] url = "https://setup-agent.ezoic.com/mcp"
Gemini CLI
{"mcpServers":{"setup":{"httpUrl":"https://setup-agent.ezoic.com/mcp"}}}
Cursor
{"mcpServers":{"setup":{"url":"https://setup-agent.ezoic.com/mcp"}}}
VS Code
{"servers":{"setup":{"type":"http","url":"https://setup-agent.ezoic.com/mcp"}}}
Antigravity
agy mcp add setup https://setup-agent.ezoic.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":"setup","server_url":"https://setup-agent.ezoic.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"setup","server_url":"https://setup-agent.ezoic.com/mcp"}
Tools
ask~342 tokens
Ask the agent. Full pipeline (schema, queries, analysis). Sync within deadline_seconds; else {status:pending,job_id} — poll request_status/read_response. Pass a stable thread id (UUID) on every call for conversation context. The result carries thread_id, the thread actually used; re-send that valuehelp~41 tokens
Short orientation text for apples MCP callers.read_response~97 tokens
Stream a chunk of a pending ask() job's output.request_status~72 tokens
Check the status of a pending ask() job.
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