MCP server
Mammoth Docs Official
io.mammoth/docs
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search and read the Mammoth Analytics docs. Tools: search_docs, get_doc, list_docs.
Working at last checkVerified publisher: mammoth.ioAbout 269 tokens per request once connected3 tools
https://docs.mammoth.io/mcp
At a glance
- Type
- MCP server
- Publisher
- mammoth.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 269 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 docs https://docs.mammoth.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.docs] url = "https://docs.mammoth.io/mcp"
Gemini CLI
{"mcpServers":{"docs":{"httpUrl":"https://docs.mammoth.io/mcp"}}}
Cursor
{"mcpServers":{"docs":{"url":"https://docs.mammoth.io/mcp"}}}
VS Code
{"servers":{"docs":{"type":"http","url":"https://docs.mammoth.io/mcp"}}}
Antigravity
agy mcp add docs https://docs.mammoth.io/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":"docs","server_url":"https://docs.mammoth.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"docs","server_url":"https://docs.mammoth.io/mcp"}
Tools
get_doc~103 tokens
Fetch one documentation page's full markdown content. `path` may be a doc path ("learn/x.md"), a site route ("/learn/x"), or a full docs URL (including a ".md"-suffixed one).list_docs~78 tokens
List published documentation pages, optionally filtered by section.search_docs~88 tokens
Search the Mammoth Analytics docs and return the best-matching pages.
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