# io.github.LumabyteCo/clarifyprompt (npm · clarifyprompt-mcp)

AI prompt optimization for 58+ platforms across 7 categories with custom platforms

- Trust score: 71/100 (medium)
- Change this week: +18
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `clarifyprompt-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp.md), [page](https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp)

## Channel facts

- Registry: `npm`
- Package: `clarifyprompt-mcp`
- Version: `1.1.3`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (Apache-2.0).
  - Actively maintained (last published 19 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 82/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 723 tokens (~90/item across 8 items; 7 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **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.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add lumabyteco-clarifyprompt -- npx -y clarifyprompt-mcp
```

### Codex

```bash
codex mcp add lumabyteco-clarifyprompt -- npx -y clarifyprompt-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "lumabyteco-clarifyprompt": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "clarifyprompt-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add lumabyteco-clarifyprompt --command npx --arg -y --arg clarifyprompt-mcp
```

### Hermes

```yaml
mcp_servers:
  lumabyteco-clarifyprompt:
    command: "npx"
    args: ["-y", "clarifyprompt-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "lumabyteco-clarifyprompt": {
      "command": "npx",
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-08-03 (score 71, +4)

- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 67, +41)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional regression] Schema quality: 100 → unverified
- [functional regression] Security disclosure: fail → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Schema quality: unverified → good
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] License: unverified → pass
- [functional] Licence: Apache-2.0

### 2026-08-01 (score 26, +21)

- [functional improvement] Schema quality: unverified → 100
- [functional improvement] Tool coverage: unverified → 100

### 2026-07-31 (score 5, −30)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 35, +11)

- [security regression] Malware scan: pass → unverified
- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] Schema quality: unverified → 100

### 2026-07-28 (score 24, −29)

- [functional regression] Tool coverage: 100 → unverified
- [functional regression] Schema quality: 100 → unverified

### 2026-07-27 (score 53)

First indexed and scored.

## MCP tools (7)

### `optimize_prompt` (~200 tokens)

Optimize a prompt for a specific AI platform. Supports 7 categories and 58+ platforms including Midjourney, DALL-E, Stable Diffusion, Sora, Runway, HeyGen, ElevenLabs, Suno, Claude, ChatGPT, DeepSeek, Cursor, Jasper, and more. Also supports custom registered platforms. Category and platform are auto-detected when omitted.

Input parameters:

- `category` (string): Prompt category. Auto-detected from prompt content when omitted.
- `enrich_context` (boolean): Use web search for context enrichment (supports Tavily, Brave, Serper, SerpAPI, Exa, SearXNG)
- `mode` (string): Output mode
- `platform` (string): Target platform ID (e.g. midjourney, dall-e, sora, suno, claude, cursor, or a custom platform ID). Uses category default when omitted.
- `prompt` (string, required): The prompt to optimize

### `list_categories` (~21 tokens)

List all available prompt optimization categories with platform counts including custom platforms

### `list_platforms` (~33 tokens)

List available platforms for a category, including custom registered platforms.

Input parameters:

- `category` (string, required): Category to list platforms for

### `list_modes` (~35 tokens)

List available output modes for prompt optimization (concise, detailed, structured, step-by-step, bullet-points, technical, simple)

### `register_platform` (~187 tokens)

Register a new custom AI platform for prompt optimization. The platform must belong to an existing category. Use instructions or instructions_file to provide detailed guidance on how prompts should be optimized for this platform.

Input parameters:

- `category` (string, required): Category this platform belongs to
- `description` (string, required): Short description of the platform
- `id` (string, required): Unique platform ID (lowercase, alphanumeric with hyphens, e.g. 'my-llm')
- `instructions` (string): Inline instructions for prompt optimization on this platform
- `instructions_file` (string): Path to a .md file with detailed instructions (relative to config dir's instructions/ folder, or absolute)
- `label` (string, required): Human-readable platform name (e.g. 'My Custom LLM')
- `syntax_hints` (array): Platform-specific syntax hints (e.g. ['system prompts', 'JSON mode'])

### `update_platform` (~162 tokens)

Update a custom platform or add/override instructions on a built-in platform. For built-in platforms, only instructions, instructions_file, and syntax_hints_append are supported.

Input parameters:

- `category` (string, required): Category the platform belongs to
- `description` (string): Updated description (custom platforms only)
- `id` (string, required): Platform ID to update
- `instructions` (string): Inline instructions (replaces existing)
- `instructions_file` (string): Path to .md instructions file (replaces existing)
- `label` (string): Updated display name (custom platforms only)
- `syntax_hints` (array): Replace syntax hints (custom platforms only)
- `syntax_hints_append` (array): Additional syntax hints to append (works for both built-in and custom)

### `unregister_platform` (~72 tokens)

Remove a custom platform registration. Cannot remove built-in platforms, but can remove instruction overrides from them.

Input parameters:

- `category` (string, required): Category the platform belongs to
- `id` (string, required): Platform ID to remove
- `remove_override_only` (boolean): If true, only remove instruction overrides (for built-in platforms)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp#diagnostics

## Score history

- 2026-08-03: 71
- 2026-08-02: 67
- 2026-08-01: 26
- 2026-07-31: 5
- 2026-07-30: 35
- 2026-07-28: 24
- 2026-07-27: 53

## Links

- npm package: https://www.npmjs.com/package/clarifyprompt-mcp
- Socket report: https://socket.dev/npm/package/clarifyprompt-mcp
- Repository: https://github.com/LumabyteCo/clarifyprompt-mcp
- Changelog RSS feed: https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/lumabyteco-clarifyprompt/clarifyprompt-mcp