Nümtema Prompt Optimizer MCP

Nümtema Prompt Optimizer MCP

A minimal, open-source MCP server that turns a rough prompt into a clearer, structured prompt.

Category
Visit Server

README

Nümtema Prompt Optimizer MCP

A minimal, open-source MCP server that turns a rough prompt into a clearer, structured prompt.

  • One tool: optimize_prompt
  • Zero runtime dependencies
  • No API key
  • No database or prompt storage
  • No OAuth or widget in this MVP
  • Stateless Streamable HTTP endpoint for ChatGPT

What the tool returns

{
  "optimized_prompt": "...",
  "improvements": ["..."],
  "missing_information": ["..."],
  "assumptions": ["..."],
  "score_before": 30,
  "score_after": 87,
  "mode": "balanced",
  "target_model": "chatgpt",
  "language": "fr"
}

The engine is deterministic. It does not call an LLM and never silently invents missing project facts. Missing details are exposed as placeholders.

Requirements

  • Node.js 20 or newer

No npm install is necessary because the server has no dependencies.

Run locally

npm start

Default endpoints:

http://127.0.0.1:3000/health
http://127.0.0.1:3000/mcp

Development mode:

npm run dev

Test

npm test
npm run check

Quick protocol smoke test

Initialize:

curl -s http://127.0.0.1:3000/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{
    "jsonrpc":"2.0",
    "id":1,
    "method":"initialize",
    "params":{
      "protocolVersion":"2025-11-25",
      "capabilities":{},
      "clientInfo":{"name":"curl","version":"1.0.0"}
    }
  }'

List tools:

curl -s http://127.0.0.1:3000/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-11-25' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

Call the optimizer:

curl -s http://127.0.0.1:3000/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-11-25' \
  -d '{
    "jsonrpc":"2.0",
    "id":3,
    "method":"tools/call",
    "params":{
      "name":"optimize_prompt",
      "arguments":{
        "prompt":"Crée-moi un site pour vendre des ebooks",
        "mode":"balanced",
        "target_model":"chatgpt"
      }
    }
  }'

Connect it to ChatGPT

ChatGPT needs a reachable HTTPS /mcp endpoint.

  1. Run the server locally with npm start.
  2. Expose port 3000 through the OpenAI Secure MCP Tunnel, Cloudflare Tunnel, ngrok, or deploy the Docker image to an HTTPS host.
  3. In ChatGPT, enable Developer Mode under Settings → Security and login.
  4. Open Settings → Plugins, create a developer-mode app, and enter:
Name: Nümtema Prompt Optimizer
Description: Improves rough prompts, identifies missing information, and returns a reusable structured prompt.
MCP server URL: https://YOUR-DOMAIN.example/mcp
  1. Create a new conversation, enable the app from the composer, and ask:
Optimise ce prompt avec Nümtema Prompt Optimizer :
Crée-moi un site moderne pour vendre des ebooks sur l'intelligence artificielle.

When tool metadata changes, refresh the developer app from ChatGPT settings.

Tool inputs

Field Required Default Description
prompt yes Raw prompt, 3–20,000 characters
mode no balanced fast, balanced, or deep
target_model no chatgpt Target assistant/model family
language no auto auto, fr, or en
context no Project or situation context
audience no Intended audience
output_format no Required response format

Configuration

HOST=127.0.0.1
PORT=3000
ALLOWED_ORIGINS=https://chatgpt.com,https://www.chatgpt.com,https://chat.openai.com

Set HOST=0.0.0.0 inside containers. ALLOWED_ORIGINS=* is available for controlled testing but is not recommended for production.

Docker

docker build -t numtema-prompt-optimizer-mcp .
docker run --rm -p 3000:3000 numtema-prompt-optimizer-mcp

Deliberate MVP limits

This version does not include user accounts, history, profiles, OAuth, UI widgets, billing, async jobs, provider APIs, or multi-agent orchestration. Those belong in later versions only after this single tool proves useful.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured