io.github.LumabyteCo/clarifyprompt
NPM · CLARIFYPROMPT-MCP · SCANNED SEP 20
AI prompt optimization for 58+ platforms across 7 categories with custom platforms
Available components
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. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 67 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability86
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 723 tokens (~90/item across 8 items; 7 tools + 1 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "unregister_platform" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.LumabyteCo/clarifyprompt MCP server?
io.github.LumabyteCo/clarifyprompt runs locally as an npm package, launched with npx -y clarifyprompt-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · clarifyprompt-mcp
claude mcp add lumabyteco-clarifyprompt -- npx -y clarifyprompt-mcp
{
"mcpServers": {
"lumabyteco-clarifyprompt": {
"command": "npx",
"args": [
"-y",
"clarifyprompt-mcp"
]
}
}
} {
"servers": {
"lumabyteco-clarifyprompt": {
"command": "npx",
"args": [
"-y",
"clarifyprompt-mcp"
]
}
}
} codex mcp add lumabyteco-clarifyprompt -- npx -y clarifyprompt-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"lumabyteco-clarifyprompt": {
"type": "local",
"command": [
"npx",
"-y",
"clarifyprompt-mcp"
],
"enabled": true
}
}
} openclaw mcp add lumabyteco-clarifyprompt --command npx --arg -y --arg clarifyprompt-mcp
mcp_servers:
lumabyteco-clarifyprompt:
command: "npx"
args: ["-y", "clarifyprompt-mcp"] {
"McpServers": {
"lumabyteco-clarifyprompt": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"clarifyprompt-mcp"
]
}
}
} assistant mcp add lumabyteco-clarifyprompt -t stdio -c npx -a -y clarifyprompt-mcp
{
"mcpServers": {
"lumabyteco-clarifyprompt": {
"command": "npx",
"args": [
"-y",
"clarifyprompt-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 0
- Stability: 0.97 → pass security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 −3
- Stability: pass → 0.80 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed npm/clarifyprompt-mcp@1.1.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
list_categories ~21
List all available prompt optimization categories with platform counts including custom platforms
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_modes ~35
List available output modes for prompt optimization (concise, detailed, structured, step-by-step, bullet-points, technical, simple)
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_platforms ~33
List available platforms for a category, including custom registered platforms.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Category to list platforms for |
No output schema declared.
No examples provided.
optimize_prompt ~200
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | The prompt to optimize |
No output schema declared.
No examples provided.
register_platform ~187
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.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Category this platform belongs to |
| description | string | yes | Short description of the platform |
| id | string | yes | 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 | yes | Human-readable platform name (e.g. 'My Custom LLM') |
| syntax_hints | array | – | Platform-specific syntax hints (e.g. ['system prompts', 'JSON mode']) |
No output schema declared.
No examples provided.
unregister_platform ~72
Remove a custom platform registration. Cannot remove built-in platforms, but can remove instruction overrides from them.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Category the platform belongs to |
| id | string | yes | Platform ID to remove |
| remove_override_only | boolean | – | If true, only remove instruction overrides (for built-in platforms) |
No output schema declared.
No examples provided.
update_platform ~162
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.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Category the platform belongs to |
| description | string | – | Updated description (custom platforms only) |
| id | string | yes | 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) |
No output schema declared.
No examples provided.
What is the io.github.LumabyteCo/clarifyprompt MCP server?
io.github.LumabyteCo/clarifyprompt is an MCP server listed in the public MCP registry as io.github.LumabyteCo/clarifyprompt. AI prompt optimization for 58+ platforms across 7 categories with custom platforms. This page covers its npm package (clarifyprompt-mcp).
Is the io.github.LumabyteCo/clarifyprompt MCP server safe to use?
io.github.LumabyteCo/clarifyprompt scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. 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 io.github.LumabyteCo/clarifyprompt MCP server expose?
io.github.LumabyteCo/clarifyprompt exposes 7 tools: optimize_prompt, list_categories, list_platforms, list_modes, register_platform, and 2 more. Their descriptions and schemas cost roughly 710 tokens of context every time the server is loaded.
Is the io.github.LumabyteCo/clarifyprompt MCP server still maintained?
io.github.LumabyteCo/clarifyprompt 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.
What licence is the io.github.LumabyteCo/clarifyprompt MCP server under?
io.github.LumabyteCo/clarifyprompt declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.