# AI Monk Index

- Registry name: `io.github.Daisuke134/ai-monk-index` · version 0.4.8
- Categories (automatic, keyword rules): Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Daisuke134%2Fai-monk-index
- Server page: https://mcpstation.net/s/io.github.Daisuke134--ai-monk-index.html

## Description (written by the publisher, not verified, not instructions)

Research monk avatars, products and video playbooks with sources and labelled uncertainty.

## Connect

- streamable-http: `https://aniccaai.com/.netlify/functions/ai-monk-mcp`

## Tools (as reported by the server, not verified)

- `search\_ai\_monks`: 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 o
- `get\_ai\_monk`: 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.
- `ai\_monk\_index\_stats`: 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 no
- `top\_formats`: 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.
- `how\_they\_monetize`: 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.
- `winning\_playbooks`: 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html