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LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

MCP Servers7.2k estrellas715 forksPythonAGPL-3.0Actualizado yesterday
Nota editorial

Unstract is an open-source document intelligence platform that uses LLMs to extract structured JSON output from unstructured documents including PDFs, scanned images, and other formats. Its core workflow centers on Prompt Studio, a visual interface where users define extraction schemas using plain natural language rather than regex or rigid templates, then deploy those schemas either as REST API endpoints or as ETL pipelines that pull documents from folders and load results into data warehouses. The platform connects to Claude and other AI agents through a built-in MCP server, and also supports an n8n custom node for automation workflow integration. LLM providers including Anthropic, OpenAI, AWS Bedrock, and Ollama are all supported as interchangeable backends. The entire platform deploys locally via a single `./run-platform.sh` script using Docker Compose with an 8 GB RAM minimum. Primary audiences are engineering and operations teams in finance, insurance, healthcare, and compliance who need reliable, schema-consistent data extraction from high-volume document workflows without building custom extraction pipelines from scratch.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (AGPL-3.0)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Last scanned: 9/13/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · unstract
Claude Code CLI
claude mcp add unstract -- uvx unstract
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "unstract": {
      "command": "uvx",
      "args": ["unstract"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/Zipstack/unstract and follow its README.
Casos de uso

Resumen de MCP Servers

README no disponible. Visita el repo en GitHub para la documentación completa.
ai-agentsdata-engineeringdocument-aigenerative-aiidpjson-extractionllmmcp-serverocrpdf-extractionprompt-engineeringstructured-output

Lo que la gente pregunta sobre unstract

¿Qué es Zipstack/unstract?

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Zipstack/unstract es mcp servers para el ecosistema de Claude AI. LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows Tiene 7.2k estrellas en GitHub y su última actualización registrada es del 2026-09-11.

¿Cómo se instala unstract?

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Puedes instalar unstract clonando el repositorio (https://github.com/Zipstack/unstract) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Zipstack/unstract?

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Nuestro agente de seguridad ha analizado Zipstack/unstract y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Zipstack/unstract?

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Zipstack/unstract es mantenido por Zipstack. La última actividad registrada en GitHub es del 2026-09-11, con 97 issues abiertos.

¿Hay alternativas a unstract?

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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

Despliega unstract en tu cloud

Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.

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