iLook Face Analysis MCP Server

by ilook Your server? Claim it

answering

iLook Face Analysis is answering right now. Last checked 9 min ago. It exposes 14 tools.

Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 77 days of history · worst day 96%

77 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

205 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 92

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 19 August 2026. No other catalogue keeps this.

26 Sep a tool changed version

25 Sep 14 tools changed the parameters they ask for28 times that day analyze_adult_face_age_cues, analyze_canthal_tilt, analyze_color_palette and 11 more

25 Sep a tool changed version2 times that day

24 Sep 14 tools changed the parameters they ask for analyze_adult_face_age_cues, analyze_canthal_tilt, analyze_color_palette and 11 more

24 Sep a tool changed version

21 Aug 13 tools appeared analyze_adult_face_age_cues, analyze_canthal_tilt, analyze_color_palette and 10 more

21 Aug a tool changed the parameters it asks for score_face

21 Aug a tool changed version

20 Aug 13 tools disappeared analyze_adult_face_age_cues, analyze_canthal_tilt, analyze_color_palette and 10 more

20 Aug a tool description was rewritten score_face

and 32 more, back to 19 August 2026

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add face-analysis --transport http https://www.ilook.fit/mcp

Settings → Connectors → Add custom connector, then paste this address

https://www.ilook.fit/mcp

~/.codex/config.toml

[mcp_servers.face-analysis]
url = "https://www.ilook.fit/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "face-analysis": {
      "url": "https://www.ilook.fit/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "face-analysis": {
      "type": "http",
      "url": "https://www.ilook.fit/mcp"
    }
  }
}

Available tools 14

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

analyze

analyze_adult_face_age_cues

Returns broad adult presentation cues, not an exact age prediction.

analyze_canthal_tilt

Returns left, right, and average visible eye-corner tilt cues.

analyze_color_palette

Returns style-oriented palette, contrast, and lighting cues.

analyze_face_shape

Returns face shape, runner-up shape, outline cues, and styling direction.

analyze_facial_symmetry

Returns photo-specific left-right symmetry cues across visible features.

analyze_golden_ratio_face

Returns an approximate visible Golden Ratio phi score and proportion cues.

analyze_psl_score

Returns a broad PSL-style range from visible geometry without false precision.

analyze_skin_appearance

Returns appearance-only texture, evenness, shine, and lighting cues.

attractiveness

run_attractiveness_test

Returns a photo-specific subjective appearance score and visible basis.

calculate

calculate_facial_ratios

Returns visible face-ratio and spacing cues from one photo.

detect

detect_eye_shape

Returns opening shape, corner orientation, and visible eye framing.

hairstyle

find_hairstyle_direction

Returns face-shape-based hairstyle and framing direction.

rate

rate_jawline

Returns visible jawline definition, balance, and lower-face cues.

score

score_face

Returns descriptive face-shape context, five subjective appearance scores, and an approximate Golden Ratio phi score for one authorized adult photo.

Endpoints

URL	Transport	State	Latency	Checked
https://www.ilook.fit/mcp	streamable-http	answering	247 ms	9 min ago

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iLook Face Analysis — questions

Answers built from our own checks of this server.

What can iLook Face Analysis do?

It exposes 14 tools, read directly from the server on our last check. Among them: analyze_adult_face_age_cues, analyze_canthal_tilt, analyze_color_palette, analyze_face_shape, analyze_facial_symmetry, analyze_golden_ratio_face and 8 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is iLook Face Analysis working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 205 ms. The bar chart above shows every period we have measured.

Is iLook Face Analysis still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect iLook Face Analysis?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does iLook Face Analysis need an API key?

No. iLook Face Analysis completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 14 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is iLook Face Analysis?

It answers our handshake in 205 ms on average, which is faster than 68% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.