unstract
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Install / Use
claude mcp add Zipstack -- npx -y github:Zipstack/unstractIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of unstract
unstract scores 93/100 on our quality scale, 440th of 2,863 Automation skills we index (top 16%).
Its MCP Server is 12 KB long, well organised into 41 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 7,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so unstract is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under AGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
unstract compared with similar skills
All 4 of these similar skills score higher than unstract; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| unstract (this skill)by Zipstack | 93 | 7.4k | today | MCP Server |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 97.9k | today | MCP Server |
Frequently asked questions
- How do I install unstract?
- Run
claude mcp add Zipstack -- npx -y github:Zipstack/unstract. The install tabs above show the steps for each supported agent. - Which AI agents does unstract work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is unstract safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is AGPL-3.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is unstract still maintained?
- The repository was last updated today, so unstract is actively maintained.
Skill content
View source on GitHubWhat is Unstract?
Unstract uses LLMs to extract structured JSON from documents — PDFs, images, scans, you name it. Define what you want to extract using natural language prompts, and deploy as an API or ETL pipeline.
Built for teams in finance, insurance, healthcare, KYC/compliance, and much more.
Current State vs. Unstract
| Task | Without Unstract | With Unstract |
|------|------------------|---------------|
| Schema definition | Write regex, build templates per vendor | Write a prompt once, handles variations |
| New document type | Days of development | Minutes in Prompt Studio |
| LLM integration | Build your own pipeline | Plug in any provider (OpenAI, Anthropic, Bedrock, Ollama) |
| Deployment | Custom infrastructure | ./run-platform.sh or managed cloud |
| Output | Unstructured text blobs | Clean JSON, ready for your database |
⭐ If Unstract helps you, star this repo!
✨ Key Features
Prompt Studio — Define document extraction schemas with natural language. Docs →

API Deployment — Send a document over REST API, get JSON back. Docs →

ETL Pipeline — Pull documents from a folder, process them, load to your warehouse. Docs →
MCP Server — Connect to AI agents (Claude, etc.) via Model Context Protocol. Docs →
n8n Node — Drop into existing automation workflows. Docs →
🚀 Quickstart (~5 mins)
System Requirements & Prerequisites
- Linux or macOS (Intel or M-series)
- Docker & Docker Compose
- 8 GB RAM minimum
- Git
Run Locally
# Clone and start
git clone https://github.com/Zipstack/unstract.git
cd unstract
./run-platform.sh
That's it!
- Visit http://frontend.unstract.localhost in your browser
- Login with username:
unstractpassword:unstract - Start extracting data!
📦 Other Deployment Options
Docker Compose
# Pull and run entire Unstract platform with default env config.
./run-platform.sh
# Pull and run docker containers with a specific version tag.
./run-platform.sh -v v0.1.0
# Upgrade existing Unstract platform setup by pulling the latest available version.
./run-platform.sh -u
# Upgrade existing Unstract platform setup by pulling a specific version.
./run-platform.sh -u -v v0.2.0
# Build docker images locally as a specific version tag.
./run-platform.sh -b -v v0.1.0
# Build docker images locally from working branch as `current` version tag.
./run-platform.sh -b -v current
# Display the help information.
./run-platform.sh -h
# Only do setup of environment files.
./run-platform.sh -e
# Only do docker images pull with a specific version tag.
./run-platform.sh -p -v v0.1.0
# Only do docker images pull by building locally with a specific version tag.
./run-platform.sh -p -b -v v0.1.0
# Upgrade existing Unstract platform setup with docker images built locally from working branch as `current` version tag.
./run-platform.sh -u -b -v current
# Pull and run docker containers in detached mode.
./run-platform.sh -d -v v0.1.0
🔐 Backup Encryption Key
[!WARNING] This key encrypts adapter credentials — losing it makes existing adapters inaccessible!
Copy the value of ENCRYPTION_KEY from backend/.env or platform-service/.env to a secure location.
🏗️ Unstract Architecture
┌────────────────────────────────────────────────────────────┐
│ Unstract │
├─────────────┬─────────────┬─────────────┬──────────────────┤
│ Frontend │ Backend │ Worker │ Platform Service │
│ (React) │ (Django) │ (Celery) │ (FastAPI) │
├─────────────┴─────────────┴─────────────┴──────────────────┤
│ Cache (Redis) │
├────────────────────────────────────────────────────────────┤
│ Message Queue (RabbitMQ) │
├────────────────────────────────────────────────────────────┤
│ Database (PostgreSQL) │
├────────────────────────────────────────────────────────────┤
│ LLM Adapters │ Vector DBs │ Text Extractors │
│ (OpenAI, etc.) │ (Qdrant, etc.) │ (LLMWhisperer) │
└────────────────────────────────────────────────────────────┘
Also see architecture.
📄 Document File Formats
| Category | Formats | |----------|---------| | Documents | PDF, DOCX, DOC, ODT, TXT, CSV, JSON | | Spreadsheets | XLSX, XLS, ODS | | Presentations | PPTX, PPT, ODP | | Images | PNG, JPG, JPEG, TIFF, BMP, GIF, WEBP |
🔌 Connectors & Adapters
LLM Providers
| Provider | Status | Provider | Status | |----------|--------|----------|--------| | OpenAI | ✅ | Azure OpenAI | ✅ | | OpenAI Compatible | ✅ | Anthropic Claude | ✅ | | AWS Bedrock | ✅ | Google Gemini | ✅ | | Ollama (local) | ✅ | Mistral AI | ✅ | | Anyscale | ✅ | | |
Vector Databases
| Provider | Status | Provider | Status | |----------|--------|----------|--------| | Qdrant | ✅ | Pinecone | ✅ | | Weaviate | ✅ | PostgreSQL | ✅ | | Milvus | ✅ | | |
Text Extractors
| Provider | Status | |----------|--------| | LLMWhisperer | ✅ | | Unstructured.io | ✅ | | LlamaIndex Parse | ✅ |
ETL Sources & Destinations
Sources: AWS S3, MinIO, Google Cloud Storage, Azure Blob, Google Drive, Dropbox, SFTP
Destinations: Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MariaDB, SQL Server, Oracle
🛠️ Development
Change Default Credentials
Follow these steps to change the default username and password.
Local Development
# Install pre-commit hooks
./dev-env-cli.sh -p
# Run pre-commit checks
./dev-env-cli.sh -r
🏢 Use Cases by Industry
Finance & Banking → | Insurance → | Healthcare → | Income Tax →
☁️ Cloud & Enterprise
For teams that need managed infrastructure, advanced accuracy features, or compliance certifications.
- ✅ LLMChallenge — dual-LLM verification
- ✅ SinglePass & Summarized Extraction — reduce LLM token costs
- ✅ Human-in-the-Loop — review interface with document highlighting
- ✅ SSO & Enterprise RBAC — SAML/OIDC integration with granular role-based access control
- ✅ SOC 2, HIPAA, ISO 27001, GDPR Compliant — third-party audited security certifications
- ✅ Priority Support with SLA — dedicated support team with response time guarantees
<a href="https://unstract.com/schedule-a-demo/"><img src="docs/assets/book-demo-button-blue.svg" alt="Book a Demo"></a>
📚 Cookbooks
- Unstract + PostgreSQL + DeepSeek
- Unstract + n8n
- Unstract + Snowflake
- Unstract + BigQuery
- Unstract + Crew.AI
- Unstract + PydanticAI
- Unstract MCP Server
🤝 Contributing
We welcome contributions! The easiest way to start:
- Pick an issue tagged
good first issue - Submit a PR
Report Bug → | Request Feature →
👋 Community
Join the LLM-powered document automation community:
📊 A Note on Analytics
Unstract integr
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

