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AI Monk Index

REMOTE · ANICCAAI.COM

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

Available components

+3 this week 74 Trust /100

Last scanned (19 hours ago)

Scores higher than 62% of remote servers

Reachable. Last reached 4 Nov 2026.

Category Marketing and SEO

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability62
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 648 tokens (~108/item across 6 items; 6 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
  • Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Oct 26 +1
    • Server version: 0.4.19 → 0.4.20 functional
  • 24 Oct 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Stability: unverified → 0.03 ▲ functional
    • Server version: 0.4.17 → 0.4.19 functional
    • Server version: 0.4.15 → 0.4.17 functional
    • Server version: 0.4.14 → 0.4.15 functional
    • Server version: 0.4.13 → 0.4.14 functional
    • Server version: 0.4.11 → 0.4.13 functional
    • Server version: 0.4.9 → 0.4.11 functional
    • Server version: 0.4.7 → 0.4.9 functional
  • 23 Oct 26 69

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://aniccaai.com/.netlify/functions/ai-monk-mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=aniccaai.com CN=YE1,O=Let's Encrypt,C=US 18 Oct 2026 16 Jan 2027 ECDSA 256 ECDSA-SHA384 534fcd20ba3cae533e09d31d9d2965b6f0d
SANs: *.aniccaai.com, aniccaai.com
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of aniccaai.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
aniccaai.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000
x-content-type-options nosniff

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://aniccaai.com/.netlify/functions/ai-monk-mcp Verified 200
http (plaintext) http://aniccaai.com/.netlify/functions/ai-monk-mcp HTTPS enforced 301 https://aniccaai.com/.netlify/functions/ai-monk-mcp
MCP tools · 6 exposed · ~472 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
ai_monk_index_stats ~62

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 not establish reviewed video-avatar evidence.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

get_ai_monk ~62

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.

NameTypeReqDescription
idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

how_they_monetize ~76

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.

NameTypeReqDescription
account_idstring––

Structured output declared, but exposes no named fields.

No examples provided.

search_ai_monks ~146

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 order. Missing metrics are not zero. Returns provenance, directory_scope and unknowns; candidate inclusion does not confirm AI production or video format.

NameTypeReqDescription
languagestring––
limitinteger––
offsetinteger––
platformstring––
querystring––
regionstring––
sortstring––
statusstring––

Structured output declared, but exposes no named fields.

No examples provided.

top_formats ~68

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.

NameTypeReqDescription
account_idstring––
limitinteger––

Structured output declared, but exposes no named fields.

No examples provided.

winning_playbooks ~58

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.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

Install

How do I install the AI Monk Index MCP server?

AI Monk Index is a hosted endpoint at https://aniccaai.com/.netlify/functions/ai-monk-mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · aniccaai.com

# add to Claude Code
claude mcp add --transport http daisuke134-ai-monk-index 'https://aniccaai.com/.netlify/functions/ai-monk-mcp'
Common questions

What is the AI Monk Index MCP server?

AI Monk Index is an MCP server listed in the public MCP registry as io.github.Daisuke134/ai-monk-index. Research monk avatars, products and video playbooks with sources and labelled uncertainty. This page covers its hosted endpoint (https://aniccaai.com/.netlify/functions/ai-monk-mcp).

Is the AI Monk Index MCP server safe to use?

AI Monk Index scores 74 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the AI Monk Index MCP server expose?

AI Monk Index exposes 6 tools: search_ai_monks, get_ai_monk, ai_monk_index_stats, top_formats, how_they_monetize, winning_playbooks. Their descriptions and schemas cost roughly 472 tokens of context every time the server is loaded.

Does the AI Monk Index MCP server require authentication?

No. We connected to AI Monk Index without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the AI Monk Index MCP server still maintained?

AI Monk Index is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.