Bring Ocr
to LlamaIndex
Create your Vinkius account to connect Extracta to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Extracta MCP Server?
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
- Subscribe to this server
- Enter your Extracta.ai API Key (found in the /api section of your dashboard)
- 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
Built-in capabilities (10)
g. 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
Why LlamaIndex?
LlamaIndex agents combine Extracta tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Extracta tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Extracta tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Extracta, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Extracta tools were called, what data was returned, and how it influenced the final answer
Extracta in LlamaIndex
Why run Extracta with Vinkius?
The Extracta connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Extracta using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Extracta and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Extracta to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Extracta for LlamaIndex
Every request between LlamaIndex and Extracta is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Extracta tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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