# iLook Face Analysis (remote · www.ilook.fit)

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

- Trust score: 88/100 (high trust)
- Change this week: +2
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `www.ilook.fit`: 88/100 (this document), [markdown](https://verifymcp.io/servers/fit-ilook-face-analysis/www.md), [page](https://verifymcp.io/servers/fit-ilook-face-analysis/www)

## Channel facts

- Endpoint: `https://www.ilook.fit/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.3.1`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 76/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1361 tokens (~97/item across 14 items; 14 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 14 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the iLook Face Analysis MCP server?

iLook Face Analysis is a hosted endpoint at https://www.ilook.fit/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.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fit-ilook-face-analysis": {
      "type": "remote",
      "url": "https://www.ilook.fit/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fit-ilook-face-analysis --url 'https://www.ilook.fit/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  fit-ilook-face-analysis:
    url: "https://www.ilook.fit/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "fit-ilook-face-analysis": {
      "Transport": "http",
      "Url": "https://www.ilook.fit/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add fit-ilook-face-analysis -t streamable-http -u 'https://www.ilook.fit/mcp'
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-17 (score 88, +1)

- [security] Stability: 0.97 → pass

### 2026-09-15 (score 87, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-13 (score 86, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-11 (score 85, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-09 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-06 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-04 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-02 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (14)

### `score_face` (~128 tokens)

Score an authorized adult face

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `measurement_key` (string): Optional. Return only one focused free-tool output instead of the full face report.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the tool call fails.
- `face_shape` (object): Descriptive visible face-shape category and explanation.
- `measurements` (object): Focused free-tool measurement outputs.
- `model` (string): Model version used for visible analysis.
- `overall_score` (number): Fixed weighted score from 0 to 10.
- `overall_score_100` (integer): The same fixed weighted score from 0 to 100.
- `phi_score` (object): Separate 0 to 100 Golden Ratio proportion context.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `score_explanations` (object): Photo-specific explanation for each named subscore.
- `scores` (object): Five named appearance subscores from 0 to 10.
- `summary` (string): Concise photo-specific report summary.

### `analyze_face_shape` (~96 tokens)

Analyze face shape

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `rate_jawline` (~95 tokens)

Rate jawline

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_canthal_tilt` (~97 tokens)

Analyze canthal tilt

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `detect_eye_shape` (~93 tokens)

Detect eye shape

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_adult_face_age_cues` (~97 tokens)

Analyze adult face age cues

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_facial_symmetry` (~94 tokens)

Analyze facial symmetry

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_golden_ratio_face` (~95 tokens)

Analyze Golden Ratio face

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `run_attractiveness_test` (~94 tokens)

Run subjective appearance test

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_psl_score` (~95 tokens)

Analyze PSL-style score

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `calculate_facial_ratios` (~95 tokens)

Calculate facial ratios

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_color_palette` (~92 tokens)

Analyze color palette

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `analyze_skin_appearance` (~96 tokens)

Analyze skin appearance

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

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

### `find_hairstyle_direction` (~94 tokens)

Find hairstyle direction

Returns face-shape-based hairstyle and framing direction.

Input parameters:

- `adult_and_authorized` (boolean, required): Confirms the pictured person is an adult and the submission is lawful.
- `image_base64` (string, required): Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix.
- `mime_type` (string, required): Image media type. Supported formats are JPEG, PNG, and WebP.

Output parameters:

- `analysis_id` (string): Unique analysis identifier.
- `disclaimer` (string): Required responsible-use disclaimer.
- `error` (object): Present when the focused analysis fails.
- `face_shape` (object): Optional face-shape context when relevant.
- `measurement` (object): Score, label, analysis, and tool-specific detail rows.
- `model` (string): Model version used for visible analysis.
- `phi_score` (object): Optional Golden Ratio context when relevant.
- `rubric_version` (string): Versioned iLook scoring rubric.
- `tool` (string): Focused measurement key.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/fit-ilook-face-analysis/www#diagnostics

## Score history

- 2026-09-20: 88
- 2026-09-19: 88
- 2026-09-18: 88
- 2026-09-17: 88
- 2026-09-16: 87
- 2026-09-15: 87
- 2026-09-14: 86
- 2026-09-13: 86
- 2026-09-12: 85
- 2026-09-11: 85
- 2026-09-10: 84
- 2026-09-09: 84
- 2026-09-08: 83
- 2026-09-07: 83
- 2026-09-06: 83
- 2026-09-05: 82
- 2026-09-04: 82
- 2026-09-03: 81
- 2026-09-02: 81
- 2026-09-01: 80
- 2026-08-31: 80
- 2026-08-30: 79
- 2026-08-29: 79
- 2026-08-28: 78
- 2026-08-27: 78
- 2026-08-26: 77
- 2026-08-25: 76
- 2026-08-24: 75
- 2026-08-23: 75
- 2026-08-22: 74

## Common questions

### What is the iLook Face Analysis MCP server?

iLook Face Analysis is an MCP server listed in the public MCP registry as fit.ilook/face-analysis. Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools. This page covers its hosted endpoint (https://www.ilook.fit/mcp).

### Is the iLook Face Analysis MCP server safe to use?

iLook Face Analysis scores 88 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 iLook Face Analysis MCP server expose?

iLook Face Analysis exposes 14 tools: score_face, analyze_face_shape, rate_jawline, analyze_canthal_tilt, detect_eye_shape, and 9 more. Their descriptions and schemas cost roughly 1,361 tokens of context every time the server is loaded.

### Does the iLook Face Analysis MCP server require authentication?

No. We connected to iLook Face Analysis without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the iLook Face Analysis MCP server still maintained?

iLook Face Analysis is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://www.ilook.fit/mcp
- Repository: https://github.com/harshul1404/ilook
- Changelog RSS feed: https://verifymcp.io/servers/fit-ilook-face-analysis/www.xml
- Changelog JSON feed: https://verifymcp.io/servers/fit-ilook-face-analysis/www.json
- HTML version of this page: https://verifymcp.io/servers/fit-ilook-face-analysis/www