About Prompt Maker Studio
Prompt Maker Studio is a self-hosted workspace for organizing, refining, versioning, and testing reusable prompts. It serves people maintaining prompt libraries, with optional AI-provider features for conversion and evaluation.
Key features
- 01Search, folders, and favorites
- 02Reusable templates with variables
- 03Prompt version history
- 04AI-assisted conversion and refinement
- 05Prompt testing and run comparison
- 06CSV test case import and export
Use cases
- 01Organize prompts for repeated use
- 02Convert rough text into templates
- 03Compare edits and restore prior versions
- 04Evaluate prompts against reusable test cases
MCP support
It exposes the prompt library through MCP so clients such as ChatGPT and Claude can use it. MCP and REST use the same prompt services.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://neadlab.com/api/mcpclaude mcp add --transport http chrysogonus-prompt-maker-studio https://neadlab.com/api/mcp{"mcpServers":{"chrysogonus-prompt-maker-studio":{"type":"http","url":"https://neadlab.com/api/mcp"}}}Open in Cursor{"servers":{"chrysogonus-prompt-maker-studio":{"type":"http","url":"https://neadlab.com/api/mcp"}}}Open in VS Code{"mcpServers":{"chrysogonus-prompt-maker-studio":{"type":"http","url":"https://neadlab.com/api/mcp"}}}{"mcpServers":{"chrysogonus-prompt-maker-studio":{"serverUrl":"https://neadlab.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEPrompt 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. The first account can register; further registration is closed by default. 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
- Documentation index — current guides, architecture, product records and release history.
- Development — local setup, commands and tests.
- Deployment — hosting, HTTPS and backups.
- Monitoring — dashboards, metrics, alerts and operator logs.
- Configuration template — available settings and defaults.
- API reference — REST routes; interactive schemas at localhost:8000/docs.
- MCP integration — use your library from ChatGPT, Claude and other clients.
- Contributing · Code of Conduct · Security.
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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.