MCP server

Whoisgenius

io.github.basicScandal/whoisgenius

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Domain attribution and correlation for AI agents, with confidence and per-signal evidence.

Working at last checkAbout 276 tokens per request once connected2 tools

https://api.whoisgeni.us/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 2
Token cost: About 276 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 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 whoisgenius https://api.whoisgeni.us/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.whoisgenius]
url = "https://api.whoisgeni.us/mcp"

Gemini CLI

{"mcpServers":{"whoisgenius":{"httpUrl":"https://api.whoisgeni.us/mcp"}}}

Cursor

{"mcpServers":{"whoisgenius":{"url":"https://api.whoisgeni.us/mcp"}}}

VS Code

{"servers":{"whoisgenius":{"type":"http","url":"https://api.whoisgeni.us/mcp"}}}

Antigravity

agy mcp add whoisgenius https://api.whoisgeni.us/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":"whoisgenius","server_url":"https://api.whoisgeni.us/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"whoisgenius","server_url":"https://api.whoisgeni.us/mcp"}

analyze_domain ~130 tokens
Analyze a domain name to identify its operator and attribution signals. Returns a human-readable Markdown summary and machine-readable structured output containing ranked entity candidates with confidence scores and per-signal evidence.
correlate_domains ~146 tokens
Correlate 2-15 domain names to detect shared infrastructure, common operators, and clustering evidence. Returns a human-readable Markdown summary and machine-readable structured output containing correlation clusters, pairwise scores, and shared signals.

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Public phishing feed: suspicious/confirmed phishing URLs detected hourly. No auth, CC0.

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