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

MCP Servers7.2k stars715 forksPythonAGPL-3.0Updated today
Editor's note

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: 9/11/2026
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.
Use cases

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
ai-agentsdata-engineeringdocument-aigenerative-aiidpjson-extractionllmmcp-serverocrpdf-extractionprompt-engineeringstructured-output

What people ask about unstract

What is Zipstack/unstract?

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Zipstack/unstract is mcp servers for the Claude AI ecosystem. LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows It has 7.2k GitHub stars and its last recorded update is dated 2026-09-10.

How do I install unstract?

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You can install unstract by cloning the repository (https://github.com/Zipstack/unstract) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Zipstack/unstract safe to use?

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Our security agent has analyzed Zipstack/unstract and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains Zipstack/unstract?

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Zipstack/unstract is maintained by Zipstack. The last recorded GitHub activity is dated 2026-09-10, with 95 open issues.

Are there alternatives to unstract?

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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy unstract to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

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