MCP server
SeekinWeb — AI visibility Official
com.seekinweb/ai-visibility
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Does AI recommend a business? Who it names instead, which sources it uses, plus AI readability.
Working at last checkVerified publisher: seekinweb.comAbout 642 tokens per request once connected3 tools
https://seekinweb.com/api/mcp
At a glance
- Type
- MCP server
- Publisher
- seekinweb.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 642 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 ai-visibility https://seekinweb.com/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ai-visibility] url = "https://seekinweb.com/api/mcp"
Gemini CLI
{"mcpServers":{"ai-visibility":{"httpUrl":"https://seekinweb.com/api/mcp"}}}
Cursor
{"mcpServers":{"ai-visibility":{"url":"https://seekinweb.com/api/mcp"}}}
VS Code
{"servers":{"ai-visibility":{"type":"http","url":"https://seekinweb.com/api/mcp"}}}
Antigravity
agy mcp add ai-visibility https://seekinweb.com/api/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":"ai-visibility","server_url":"https://seekinweb.com/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ai-visibility","server_url":"https://seekinweb.com/api/mcp"}
Tools
check_ai_recommendations~246 tokens
Checks whether an AI assistant with live web search recommends a business when a customer asks for what it offers, without naming it. Returns how many answers named the business, which brands were named instead, which websites the assistant relied on (the sources to be present on), and what the assigenerate_llms_txt~186 tokens
Drafts an llms.txt file (llmstxt.org convention) for the root of a domain: a structured summary of the site for language models and agents, derived from the page's real content. Returns the file text. Note: llms.txt is an emerging convention with unproven impact.scan_website~210 tokens
Scans a website and returns its AI Visibility Score (0-100): whether AI crawlers and agents can find, read and cite it. Eight weighted signals (content readable without JavaScript, AI crawler access in robots.txt, structured data, semantic structure, metadata, performance, llms.txt, sitemap), each w
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