Prompt Maker Studio

Registre officiel IA et agents

Your prompt library in any MCP client: list, fetch, save and version prompt templates.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http prompt-maker-studio 'https://neadlab.com/api/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "prompt-maker-studio": {
            "type": "http",
            "url": "https://neadlab.com/api/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Prompt Maker Studio
  2. Keep your useful prompts close
  3. Turn a working prompt into a reusable template
  4. Refine with a clear view of what changes
  5. Test with examples that matter
  6. Quick Start with Docker
  7. Architecture
  8. Go further
  9. Project status
  10. License

Prompt Maker Studio

A self-hosted workspace for prompts you want to use again. Keep them organised, refine the wording, and test how they perform before your next edit.

Get started · Connect ChatGPT or Claude · Contribute

Keep your useful prompts close

Find prompts with search, folders and favourites. Write reusable sections with {{variables}}, fill them in, and copy the result into any chat app. Saved versions let you compare edits and restore an earlier approach.

Turn a working prompt into a reusable template

Choose Add existing prompts in the library and then Make reusable with AI, or Paste a prompt in the editor. AI turns unstructured text into XML-style sections and identifies variables with their original values filled in. Review and edit the variables, keep an input fixed, and copy either the template or filled prompt. Apply to the draft with Undo; Save keeps it. Example inputs are separate from template content and require an explicit choice.

Refine with a clear view of what changes

Answer clarifying questions, then review a proposed draft section by section. See the wording changes before applying them; undo or save when you're ready.

Test with examples that matter

Give a saved prompt test inputs and choose automatic checks, AI review or your own rating. Inspect model outputs and feedback, then compare runs to understand the effect of an edit. Keep your test cases reusable with CSV import and export.

Screenshots use synthetic demo data, including illustrative AI outputs and scores.

Prompt management works without an AI connection. Prompt conversion, refinement, Try once and evaluation use your configured provider: OpenAI, Anthropic, Gemini, Ollama, vLLM or another OpenAI-compatible endpoint. Hosted calls may incur provider charges; operators can set monthly spending limits.

Quick Start with Docker

You'll need Git, Docker with Compose, Make and OpenSSL.

git clone https://github.com/chrysogonus/prompt-maker-studio.git
cd prompt-maker-studio
make setup
make up

Open localhost:3000 and create your account. Registration is open by default; set REGISTRATION_MODE=closed to admit only the first account. For AI features, connect a provider under Settings → AI connection, or use the operator's optional server default when configured.

make setup creates local configuration with a generated signing key. Browser API calls stay on the same origin through the frontend proxy. Run make down to stop the app. See the Docker guide for configuration and local email testing.

Architecture

flowchart LR
    Browser[Browser] --> Edge["Caddy · HTTPS"]
    MCP["ChatGPT / MCP client"] --> Edge
    Edge -->|Web app| UI["Next.js · React"]
    Edge -->|REST / MCP / OAuth| API[FastAPI]
    API --> DB[(SQLite)]
    API -.->|Import · refine · evaluate| AI["Configured AI provider"]

Caddy handles production HTTPS and routing. Locally, Next.js proxies /api to FastAPI. SQLite stores accounts, prompts, versions and evaluation history; REST and MCP share the same prompt services. AI calls are optional.

Go further

Project status

Early-stage, 0.x. APIs and database schemas may change between releases. Back up before upgrading; see the changelog. The 0.6.0 release record records publication, immutable image digests and verification for the latest release: collection imports, prompt reuse, curated AI connections and UX fixes. It includes migrations 028/029 and a restriction on saving hosted model selections; follow its upgrade notes. Upgrades from before 0.5.0 must also follow the 0.5.0 upgrade checks, including rehearsing migrations on an isolated production-backup copy.

License

Apache 2.0. See NOTICE and third-party notices for attribution.

Questions fréquentes

Qu'est-ce que Prompt Maker Studio ?

Your prompt library in any MCP client: list, fetch, save and version prompt templates.

Comment installer Prompt Maker Studio ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http prompt-maker-studio 'https://neadlab.com/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Prompt Maker Studio ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

Prompt Maker Studio est-il open source ?

Oui. Son code est sur GitHub sous licence Apache-2.0.

Qui maintient Prompt Maker Studio ?

Il est publié par chrysogonus. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.