MCP.Market

Clarifyprompt MCP server

by LumabyteCo·io.github.LumabyteCo/clarifyprompt·v1.1.3·13 stars

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

B77/100grade B
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Safety scan
B77/100

full report

Adoption
Growing

13 stars81 downloads/wk

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Clarifyprompt tools (7, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • list_categories

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

  • list_modes

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

  • list_platforms

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

  • optimize_prompt

    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.

  • register_platform

    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.

  • unregister_platformwrite action

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

  • update_platformwrite action

    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.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan35 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 76 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 77/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Clarifyprompt compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 50% of 4,460 AI and agents servers
Tools
7
the typical AI and agents server has 6
Tools that change things
29%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
13
more than 86% of 2,711 AI and agents servers
Downloads a week
81
more than 59% of 1,538 AI and agents servers with a package

What its tools let an agent do: 4 read · 1 create · 2 change

Install Clarifyprompt in Claude Code, Cursor or VS Code

Runs npx -y clarifyprompt-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add clarifyprompt -- npx -y clarifyprompt-mcp
Add to Cursor

What the publisher says

From the Clarifyprompt repository's README, as published. We do not edit it. Read it on GitHub

ClarifyPrompt MCP

A context-aware MCP prompt compiler that transforms vague prompts into platform-optimized prompts for 60+ AI platforms across 7 categories — grounded in your workspace signals (CLAUDE.md, AGENTS.md, .cursorrules, package.json), resolved intent, and the capabilities of the target model.

Send a raw prompt. ClarifyPrompt gathers the right context, resolves what you're actually trying to do, and returns a version specifically optimized for Midjourney, DALL-E, Sora, Runway, Higgsfield, ElevenLabs, Claude, ChatGPT, Cursor, or any of the 60+ supported platforms — with the right syntax, parameters, structure, and grounding.

New in 1.15.0: Nano Banana (Google Gemini 2.5 Flash Image) is now a built-in image platform — optimizeprompt(platform: "nano-banana") compiles image prompts in its native style (natural-language scene direction, photographic terms, edit-preserving-identity phrasing, in-image text). Plus latest-model compatibility across every provider: claude-sonnet-5, gpt-5/o-series, and Gemini reject temperature and/or maxtokens; the client now sends the right parameters (proactively for known reasoning ids, and learns the rest from a 400). Verified live against Anthropic, OpenAI, Gemini, and Ollama Cloud. See CHANGELOG.md.

New in 1.14.1: Portable-by-default text output — a chat/document/code prompt with no explicit platform now stays platform-neutral instead of quietly defaulting to Claude's idioms (XML tags); name a platform to opt into vendor-specific tuning. Plus the MCP Apps compose panel now shows a for badge and a clean Your prompt → Optimized before/after (with a show changes toggle) instead of an always-on diff. See CHANGELOG.md.

New in 1.14.0: An interactive compose panel via MCP Apps. In hosts that speak the io.modelcontextprotocol/ui extension (Claude Desktop, ChatGPT, Cursor, VS Code, …), composeprompt renders a live panel: original-vs-optimized view, all six critique scores, the pipeline stages, and Accept / Revise** actions — Accept records the outcome into ClarifyPrompt's memory loop, Revise sends your feedback back into the chat. One self-contained ui:// resource; hosts without the extension see zero change. See CHANGELOG.md.

New in 1.13.0: Plain-language rewrites. Optimized prompts now stick to common, everyday words instead of drifting into formal vocabulary ("use", never "utilize") — specificity comes from concrete details, not fancier synonyms. critiqueprompt gained a 6th default dimension, plainlanguage, so auto_revise loops correct register drift automatically. Also fixed: an explicit mode (e.g. simple) is no longer silently dropped for small local models under compact system-prompt shaping. See CHANGELOG.md.

How It Works

ClarifyPrompt does two things a plain prompt template can't. Every output below is a real, unedited capture from optimize_prompt run against this repo (see Provenance at the end of this section).

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Clarifyprompt: common questions

Is Clarifyprompt MCP server safe?
Mostly: it is graded B (77/100). Read the Clarifyprompt safety report
How do I install Clarifyprompt?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Clarifyprompt need an API key?
Yes. The registry entry asks for LLM_API_KEY.
Is Clarifyprompt maintained?
The last commit was 113 days ago (2026-07-14). The latest release is v1.1.3.
What can I use instead of Clarifyprompt?
Servers from other publishers that do the same job: Image MCP server, LLM Sandbox MCP server and Agent-Native Analytics MCP server.
How does Clarifyprompt compare with other AI and agents MCP servers?
safety score 77/100 (higher than 50% of 4,460 AI and agents servers); tools 7 (the typical AI and agents server has 6); tools that change things 29% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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