Extracta MCP Server
Automate data extraction via Extracta — process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Extracta MCP Server?
The Extracta MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Extracta via 10 tools. Automate data extraction via Extracta — process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Extracta
Ask your AI agent "Create an extraction process for invoices with fields: date, vendor, total" and get the answer without opening a single dashboard. With 10 tools connected to real Extracta data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Extracta MCP Server capabilities
10 toolsg. invoice, receipt, contract). Pass JSON schema defining categories. Create a new Extracta document classification setup
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
Subsequent uploads to this extractionId will fail. Delete an Extracta.ai extraction process
Get bulk historical results from an Extraction process
Get the predicted document category from Extracta
If not completed, it will indicate processing status. Get extraction results for a specific document
Modifies mapping rules without needing to create a new endpoint. Update an existing Extracta extraction configuration
Returns a documentId. Use ea.get_results to poll for extracted data. Upload a document URL to Extracta for processing
View details of an existing document classification process
View configuration of an existing Extracta extraction process
What the Extracta MCP Server unlocks
Connect your Extracta.ai account to any AI agent and take full control of your automated data extraction and document classification through natural conversation.
What you can do
- Extraction Orchestration — Create and configure new data extraction processes by defining JSON schemas for fields like dates, amounts, and item descriptions natively
- Live Document Processing — Submit publicly accessible file URLs (PDF, JPG, PNG) to trigger asynchronous extraction workflows and retrieve structured JSON data seamlessly
- AI Classification — Set up document classification rules to automatically sort documents into types like invoices, receipts, or contracts based on AI predictions
- Result Auditing — Retrieve extraction status and finalized structured data for specific documents, evaluating confidence scores and predicted categories flawlessly
- Batch History Monitoring — Fetch paginated lists of previously extracted documents and their associated data payloads to track historical processing limitlessly
- Configuration Mutation — Update existing extraction settings and mapping rules without creating new endpoints to refine your data parsing logic
- Workflow Management — View and manage extraction and classification configurations, including configured fields and webhook settings securely
How it works
1. Subscribe to this server
2. Enter your Extracta.ai API Key (found in the /api section of your dashboard)
3. Start extracting data from your documents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations Teams — automate invoice and receipt processing by extracting structured data using natural language
- Data Analysts — convert document-based data into JSON formats for analysis without manual data entry
- Developers — test and debug data extraction schemas and verify AI classification results through natural conversation
- Finance Teams — audit document extraction history and verify data accuracy in real-time
Frequently asked questions about the Extracta MCP Server
Can my agent create a new data extraction setup with custom fields?
Yes. Use the 'create_extraction' tool. Provide a JSON schema defining the fields you expect (e.g., 'total_amount', 'vendor_name'). The agent will return a new extractionId for document processing.
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.
Can I see the predicted document type and confidence score through the agent?
Absolutely. Use the 'get_classification_results' tool with the document and classification IDs. The agent will retrieve the AI-predicted label (e.g., 'Invoice') and the confidence score for the processed file.
More in this category
Poe
10 toolsManage AI chatbots on Poe — create bots, query other AI models, monitor messages, and track usage stats.
Verba
6 toolsConnect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.
Groq
8 toolsEmpower LLM applications via Groq — perform ultra-fast LPU-accelerated chat completions, handle audio transcription and translation, and use JSON mode directly from any AI agent.
You might also like
Trivia Quiz Generator
3 toolsGenerate random trivia quiz questions by category, difficulty, and tags � perfect for games, education, and interactive content.
BambooHR
12 toolsOfficial HR software automation — manage employee directories, time off requests, and company reports via AI.
Salesforce Analytics & SOQL
6 toolsRun SOQL queries, execute reports, view dashboards, and analyze CRM data in real-time through natural conversation.
Connect Extracta with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Give your AI agents the power of Extracta MCP Server
Production-grade Extracta MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.