Integrate Extracta with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate classification on Extracta
g. invoice, receipt, contract). Pass JSON schema defining categories. Create a new Extracta document classification setup
Create extraction on Extracta
g. language, format, expected fields like invoice_date, total_amount). Returns a new extractionId used for subsequent document processing. Create a new Extracta.ai data extraction process
Delete extraction on Extracta
Subsequent uploads to this extractionId will fail. Delete an Extracta.ai extraction process
Get batch results on Extracta
Get bulk historical results from an Extraction process
Get classification results on Extracta
Get the predicted document category from Extracta
Get results on Extracta
If not completed, it will indicate processing status. Get extraction results for a specific document
Update extraction on Extracta
Modifies mapping rules without needing to create a new endpoint. Update an existing Extracta extraction configuration
Upload file url on Extracta
Returns a documentId. Use ea.get_results to poll for extracted data. Upload a document URL to Extracta for processing
View classification on Extracta
View details of an existing document classification process
View extraction on Extracta
View configuration of an existing Extracta extraction process
Security & Code Integrity Audit
Every tool in the Extracta MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How do I process a PDF document using a specific extraction ID via chat?
Use the 'upload_file_url' tool. Provide the extractionId and the public URL of your PDF. The agent will trigger the workflow and return a documentId, which you can use with 'get_results' to fetch the data.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Extracta
Integrate Extracta to provide your custom AI agents with direct read and write access to the capabilities listed below.
LLM Orchestration for ocr
The Extracta integration exposes LLM-friendly schemas for ocr. Tools like Cursor can map natural language directly into executable artificial intelligence commands.
Cursor Copilot for data extraction
Add data extraction functionality to your custom chatbots. The Extracta MCP handles the payload formatting required for ChatGPT and Claude to interface with artificial intelligence endpoints.
Extracta. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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