# Tonebook Palette (remote · tonebook-muse-mcp-staging.vercel.app)

Choose a palette, compare digital colors and create portable outfit, event or packing boards.

- Trust score: 85/100 (high trust)
- Change this week: +1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `tonebook-muse-mcp-staging.vercel.app`: 85/100 (this document), [markdown](https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1.md), [page](https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1)

## Channel facts

- Endpoint: `https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## 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 2026-11-05.

- **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**: 65/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 846 tokens (~141/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - 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**: 88/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 58% 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 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Tonebook Palette MCP server?

Tonebook Palette is a hosted endpoint at https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1, 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 app-tonebook-palette 'https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1'
```

### Cursor

```json
{
  "mcpServers": {
    "app-tonebook-palette": {
      "url": "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "app-tonebook-palette": {
      "type": "http",
      "url": "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
    }
  }
}
```

### Codex

```toml
[mcp_servers.app-tonebook-palette]
url = "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "app-tonebook-palette": {
      "type": "remote",
      "url": "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add app-tonebook-palette --url 'https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  app-tonebook-palette:
    url: "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
```

### Netclaw

```json
{
  "McpServers": {
    "app-tonebook-palette": {
      "Transport": "http",
      "Url": "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
    }
  }
}
```

### Vellum

```bash
assistant mcp add app-tonebook-palette -t streamable-http -u 'https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1'
```

### Other

```json
{
  "mcpServers": {
    "app-tonebook-palette": {
      "type": "http",
      "url": "https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1"
    }
  }
}
```

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.

### 2026-10-31 (score 85, +1)

- [security] Stability: 0.97 → pass

### 2026-10-29 (score 84, +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.

### 2026-10-27 (score 83, +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.

### 2026-10-24 (score 82, 0)

- [functional regression] Schema quality: pass → fail
- [functional improvement] Tool coverage: 44% → 58%
- [functional] Server version: 1.0.0 → 1.0.1
- [cosmetic] “compare_colors” added an optional parameter “analytics_opt_out”
- [cosmetic] “create_palette_board” added an optional parameter “analytics_opt_out”
- [cosmetic] “get_palette_board” added an optional parameter “analytics_opt_out”
- [cosmetic] “get_quiz_questions” added an optional parameter “analytics_opt_out”
- [cosmetic] “score_color_quiz” added an optional parameter “analytics_opt_out”
- [cosmetic] “select_palette” added an optional parameter “analytics_opt_out”

### 2026-10-23 (score 82, +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.

### 2026-10-20 (score 81, +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.

### 2026-10-18 (score 80, +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.

### 2026-10-16 (score 79, +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 (6)

### `get_quiz_questions` (~97 tokens)

Get palette quiz choices

Return Tonebook’s eight categorical self-assessment questions. Ask for the user’s own choices; do not infer choices from a photo or conversation history. No account, photo or payment is needed.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.

Output parameters:

- `kind` (string)
- `result` (object)
- `schema_version` (string)

### `score_color_quiz` (~226 tokens)

Score a palette self-assessment

Use eight explicit user-selected answers to suggest a 12-color starting palette and adjacent option. Uncertain or conflicting preferences prompt clarification. The versioned result is unconfirmed guidance, not a diagnosis. It never overwrites a confirmed palette.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.
- `complimented_colors` (string, required): Which colors have drawn compliments on you?
- `contrast` (string, required): What is your overall feature contrast?
- `eye_color` (string, required): What is your eye color?
- `metal_preference` (string, required): Which metal look do you prefer near your face?
- `natural_hair` (string, required): What is your natural hair color?
- `skin_depth` (string, required): How would you describe your skin depth?
- `undertone` (string, required): Which colors do you prefer near your face?
- `white_preference` (string, required): Which white do you prefer wearing?

Output parameters:

- `kind` (string)
- `result` (object)
- `schema_version` (string)

### `select_palette` (~134 tokens)

Confirm or correct a palette choice

Return a portable user-confirmed palette from an explicit season choice. For correction, pass the prior palette reference so source and revision are retained. Confirm only the user’s stated choice. Keep the new reference for later calls; this does not write account or native report data.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.
- `confirmed` (boolean, required)
- `previous_palette_ref` (string)
- `season_id` (string, required)

Output parameters:

- `kind` (string)
- `result` (object)
- `schema_version` (string)

### `compare_colors` (~128 tokens)

Compare supplied digital colors

Compare up to 12 supplied six-digit hex colors or standard color names with a portable selected palette. Unknown or ambiguous names request hex values. Return the nearest digital swatch with a fixed RGB rule and concise rationale. This does not assess skin, photos, fabrics or garments you own.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.
- `colors` (array, required)
- `palette_ref` (string, required)

Output parameters:

- `kind` (string)
- `result`
- `schema_version` (string)

### `create_palette_board` (~145 tokens)

Create a portable palette board

Generate a labeled downloadable SVG board and matching 12-color PNG from a user-confirmed palette, a chosen outfit/event/packing purpose and optional supplied garment colors. Requires the user’s chosen palette; unknown colors request clarification. Computation only; no upload, charge, account record or closet inference.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.
- `colors` (array)
- `occasion` (string)
- `palette_ref` (string, required)
- `purpose` (string, required)

Output parameters:

- `kind` (string)
- `result`
- `schema_version` (string)

### `get_palette_board` (~116 tokens)

Reconstruct a portable palette board

Reconstruct the same SVG, PNG, selected palette and supplied-color comparisons from a complete board reference. Anyone with a reference can read its public palette data. It is not an account credential and cannot retrieve purchased reports. No Tonebook server record is required.

Input parameters:

- `analytics_opt_out` (boolean): Set true when the user asks not to measure Tonebook usage. Apply that choice to each subsequent Tonebook call. The tool works identically either way. No quiz answers or result content are logged.
- `board_ref` (string, required)

Output parameters:

- `kind` (string)
- `result`
- `schema_version` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1#diagnostics

## Score history

- 2026-11-05: 85
- 2026-11-04: 85
- 2026-11-03: 85
- 2026-11-02: 85
- 2026-11-01: 85
- 2026-10-31: 85
- 2026-10-30: 84
- 2026-10-29: 84
- 2026-10-28: 83
- 2026-10-27: 83
- 2026-10-26: 82
- 2026-10-25: 82
- 2026-10-24: 82
- 2026-10-23: 82
- 2026-10-22: 81
- 2026-10-21: 81
- 2026-10-20: 81
- 2026-10-19: 80
- 2026-10-18: 80
- 2026-10-17: 79
- 2026-10-16: 79
- 2026-10-15: 78
- 2026-10-14: 78
- 2026-10-13: 77
- 2026-10-12: 77
- 2026-10-11: 76
- 2026-10-10: 76
- 2026-10-06: 74
- 2026-10-05: 74
- 2026-10-04: 73

## Common questions

### What is the Tonebook Palette MCP server?

Tonebook Palette is an MCP server listed in the public MCP registry as app.tonebook/palette. Choose a palette, compare digital colors and create portable outfit, event or packing boards. This page covers its hosted endpoint (https://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1).

### Is the Tonebook Palette MCP server safe to use?

Tonebook Palette scores 85 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 Tonebook Palette MCP server expose?

Tonebook Palette exposes 6 tools: get_quiz_questions, score_color_quiz, select_palette, compare_colors, create_palette_board, get_palette_board. Their descriptions and schemas cost roughly 846 tokens of context every time the server is loaded.

### Does the Tonebook Palette MCP server require authentication?

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

### Is the Tonebook Palette MCP server still maintained?

Tonebook Palette is still listed as active in the MCP registry. We last reached this channel on 5 November 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://tonebook-muse-mcp-staging.vercel.app/api/openai-mcp-v1
- Website: https://tonebook.app/
- Changelog RSS feed: https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1.xml
- Changelog JSON feed: https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1.json
- HTML version of this page: https://verifymcp.io/servers/app-tonebook-palette/api-openai-mcp-v1