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Vectorize

Vectorize

Official
by vectorize-io

Servidor MCP vectorizado

Una implementación de servidor de Protocolo de contexto de modelo (MCP) que se integra con Vectorize para la recuperación avanzada de vectores y extracción de texto.

Instalación

Ejecutando con npx

export VECTORIZE_ORG_ID=YOUR_ORG_ID
export VECTORIZE_TOKEN=YOUR_TOKEN
export VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID

npx -y @vectorize-io/vectorize-mcp-server@latest

Related MCP server: @sanderkooger/mcp-server-ragdocs

Configuración en Claude/Windsurf/Cursor/Cline

{
  "mcpServers": {
    "vectorize": {
      "command": "npx",
      "args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"],
      "env": {
        "VECTORIZE_ORG_ID": "your-org-id",
        "VECTORIZE_TOKEN": "your-token",
        "VECTORIZE_PIPELINE_ID": "your-pipeline-id"
      }
    }
  }
}

Herramientas

Recuperar documentos

Realizar búsquedas vectoriales y recuperar documentos (ver API oficial):

{
  "name": "retrieve",
  "arguments": {
    "question": "Financial health of the company",
    "k": 5
  }
}

Extracción y fragmentación de texto (de cualquier archivo a Markdown)

Extrae texto de un documento y conviértelo en formato Markdown (consulta la API oficial):

{
  "name": "extract",
  "arguments": {
    "base64document": "base64-encoded-document",
    "contentType": "application/pdf"
  }
}

Investigación profunda

Genere una investigación profunda privada desde su canalización (consulte la API oficial):

{
  "name": "deep-research",
  "arguments": {
    "query": "Generate a financial status report about the company",
    "webSearch": true
  }
}

Desarrollo

npm install
npm run dev

Contribuyendo

  1. Bifurcar el repositorio

  2. Crea tu rama de funciones

  3. Enviar una solicitud de extracción

Tool Schema Changelog

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