# iLook Face Analysis

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

- name: fit.ilook/face-analysis
- version: 1.3.1
- connection class: R0 (autonomous)
- trust: 89/100
- quality: 86/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/fit.ilook%2Fface-analysis
- tools: https://api.protogrid.dev/v1/servers/fit.ilook%2Fface-analysis/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

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


## Trust

- hygiene: 100
- liveness: 99
- freshness: 85
- provenance: 75
- drivers: +repository +dns-namespace +reachable +uptime-97% ~updated-63d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 86/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 14 of 14 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 2,726 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 75 (weight 15)

- warn `stability.changes`: 56 tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 14, about 2,726 tokens to load them all
- tool set hash: 46594cb094904badfdb6f8dba15f4bd2
- tools last changed: 2026-09-26T08:54:10.486Z
- badge: [![protogrid quality](https://protogrid.dev/badge/fit.ilook/face-analysis.svg)](https://protogrid.dev/servers/fit.ilook/face-analysis)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-09-26 `find_hairstyle_direction` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_skin_appearance` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_color_palette` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `calculate_facial_ratios` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_psl_score` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `run_attractiveness_test` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_golden_ratio_face` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_facial_symmetry` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `analyze_adult_face_age_cues` changed (inputSchema, outputSchema, annotations)
- 2026-09-26 `detect_eye_shape` changed (inputSchema, outputSchema, annotations)

Full history: https://api.protogrid.dev/v1/servers/fit.ilook%2Fface-analysis/changes

## Remotes

- https://www.ilook.fit/mcp (streamable-http, auth none, reachable true, uptime30d 0.9655172)

## Packages

_none_

## Tools (14)

- `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.
- `calculate_facial_ratios`: Returns visible face-ratio and spacing cues from one photo.
- `detect_eye_shape`: Returns opening shape, corner orientation, and visible eye framing.
- `find_hairstyle_direction`: Returns face-shape-based hairstyle and framing direction.
- `rate_jawline`: Returns visible jawline definition, balance, and lower-face cues.
- `run_attractiveness_test`: Returns a photo-specific subjective appearance score and visible basis.
- `score_face`: Returns descriptive face-shape context, five subjective appearance scores, and an approximate Golden Ratio phi score for one authorized adult photo.