PromptVault MCP Server
PromptVault
Versionado, evaluación y gestión de prompts de código abierto como servidor MCP.
¿Qué es PromptVault?
PromptVault es una herramienta autohospedada para ingenieros de IA e ingenieros de prompts que permite:
Versionar prompts como código con soporte de versiones inmutables y reversión
Evaluar prompts contra conjuntos de datos usando proveedores de LLM (OpenAI, Anthropic, Ollama)
Acceder a todo a través de un servidor MCP, CLI o API REST
Related MCP server: PromptingBox MCP Server
Inicio rápido
Instalación (sin necesidad de clonar)
pip install pvltO con uv/pipx:
uvx --from git+https://github.com/KrishBnsl/promptVault.git promptctl --helpO con Docker:
docker run -p 8000:8000 -e GEMINI_API_KEY=your-key ghcr.io/krishbnsl/pvltDesde el código fuente
git clone https://github.com/KrishBnsl/promptVault.git
cd promptVault
uv sync
cp .env.example .env
# Edit .env with your API keysCrea tu primer prompt
promptctl prompt create summarize \
--content "Summarize the following article in {tone} style:\n\n{article}" \
--description "Summarizes an article" \
--variables '{"tone": "concise", "article": "string"}' \
--model-config '{"provider": "openai", "model": "gpt-4o-mini", "temperature": 0.2}' \
--tags "summarization,content"Crea un dataset
echo '{"input": {"article": "AI is transforming..."}, "expected_output": "AI transforms..."}' > dataset.jsonl
promptctl dataset create article-summaries --file dataset.jsonlEjecuta la evaluación
promptctl eval run summarize --dataset article-summariesUsar con MCP (Claude Desktop)
Añade a tu configuración de Claude Desktop:
{
"mcpServers": {
"pvlt": {
"command": "promptctl",
"args": ["serve"]
}
}
}Referencia de CLI
promptctl prompt create <name> --content <text> [options]
promptctl prompt list [--tags TAGS] [--limit N]
promptctl prompt show <name> [--version N]
promptctl prompt versions <name>
promptctl prompt diff <name> <version-a> <version-b>
promptctl prompt rollback <name> --version N
promptctl dataset create <name> --file <jsonl-or-json>
promptctl dataset list
promptctl eval run <prompt-name> --dataset <dataset-name>
promptctl eval report <evaluation-id>
promptctl serve [--stdio|--http] [--port 8000]
promptctl web [--port 8080]Herramientas MCP
Herramienta | Descripción |
| Crea un nuevo prompt con versión inicial |
| Recupera una versión de prompt |
| Lista todos los prompts |
| Lista todas las versiones de un prompt |
| Compara dos versiones de prompt |
| Revierte a una versión anterior |
| Crea un dataset |
| Lista los datasets |
| Obtiene un dataset con sus elementos |
| Ejecuta la evaluación |
| Comprueba el estado de la evaluación |
| Obtiene el informe de evaluación |
| Compara dos evaluaciones |
API REST
URL base: http://localhost:8000/api
# Create a prompt
curl -X POST http://localhost:8000/api/prompts \
-H "Content-Type: application/json" \
-d '{"name": "test", "content": "Hello {name}"}'
# List prompts
curl http://localhost:8000/api/prompts
# Get a prompt
curl http://localhost:8000/api/prompts/testConfiguración
Copia .env.example a .env y configura:
PROMPTVAULT_DB_PATH=./promptvault.db
PROMPTVAULT_DEFAULT_PROVIDER=openai
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GEMINI_API_KEY=...
OLLAMA_BASE_URL=http://localhost:11434Arquitectura
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ MCP Client │ │ CLI │ │ REST Client │
│ (Claude etc) │ │ (promptctl) │ │ (curl, apps) │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
▼ ▼ ▼
┌─────────────────────────────────────────────────┐
│ PromptVault Core │
│ ┌─────────────┐ ┌──────────────┐ ┌──────────┐ │
│ │ Versioning │ │ Evaluation │ │ Storage │ │
│ │ Engine │ │ Engine │ │ Layer │ │
│ └─────────────┘ └──────────────┘ └──────────┘ │
│ ┌──────────────────────────────────────────┐ │
│ │ SQLite Database (local) │ │
│ └──────────────────────────────────────────┘ │
└─────────────────────────────────────────────────┘Documentación
📖 Documentación completa: https://krishbnsl.github.io/promptVault/
Licencia
Licencia MIT: consulta LICENSE para más detalles.
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