MCP server
AI Monk Index
io.github.Daisuke134/ai-monk-index
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Research monk avatars, products and video playbooks with sources and labelled uncertainty.
Working at last checkAbout 1,086 tokens per request once connected6 tools
https://aniccaai.com/.netlify/functions/ai-monk-mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 1,086 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-monk-index https://aniccaai.com/.netlify/functions/ai-monk-mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ai-monk-index] url = "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
Gemini CLI
{"mcpServers":{"ai-monk-index":{"httpUrl":"https://aniccaai.com/.netlify/functions/ai-monk-mcp"}}}
Cursor
{"mcpServers":{"ai-monk-index":{"url":"https://aniccaai.com/.netlify/functions/ai-monk-mcp"}}}
VS Code
{"servers":{"ai-monk-index":{"type":"http","url":"https://aniccaai.com/.netlify/functions/ai-monk-mcp"}}}
Antigravity
agy mcp add ai-monk-index https://aniccaai.com/.netlify/functions/ai-monk-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-monk-index","server_url":"https://aniccaai.com/.netlify/functions/ai-monk-mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ai-monk-index","server_url":"https://aniccaai.com/.netlify/functions/ai-monk-mcp"}
Tools
ai_monk_index_stats~150 tokens
Return directory record/source counts, AI status counts and snapshot methodology. Metadata separates the full research archive from directory coverage. Directory counts include evidence-reviewed video personas and pending research candidates; illustrated channels are excluded. AI status counts do noget_ai_monk~152 tokens
Retrieve one exact directory profile ID, its complete research record and referenced sources. Includes pending candidates with their directory_scope, identity conflicts and unknowns. Illustrated channels are excluded; candidate inclusion does not confirm AI production or video format.how_they_monetize~150 tokens
Offers (type, name, listed or base price, currency, URL), separate localized presentment observations, seller counters, creator revenue claims and revenue observations for AI monk accounts, plus counts by offer type. Optional account_id. Prices are not orders; claims are unaudited.search_ai_monks~362 tokens
Search monk profiles and pending research candidates by name/handle, provenance, language, platform and region. Excludes illustrated/watercolor storytelling channels. Paginated; latest single-platform audience order by default; optional sampled-video views or reported three-month USD gross-revenue otop_formats~154 tokens
Observed AI monk video samples ranked by latest dated public views, with title, duration, upload date and structure_summary (format, hook and script pattern). Optional account_id. Views are sampled-video observations, not channel totals.winning_playbooks~118 tokens
Source-linked playbooks published by successful AI monk creators (e.g. Yang Mun by Shalev): script formula, winning hooks with reported views, voice, posting cadence, funnel to product and monetization. Creator claims are unaudited.
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