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Cradl AI MCP Server

Name: Cradl AI
Availability: InStock
Author: Vinkius

cradl.ai

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Equip your AI agent to extract structured data from any document using Cradl AI's deep learning models.

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What is the Cradl AI MCP Server?

The Cradl AI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Cradl AI via 10 tools. Equip your AI agent to extract structured data from any document using Cradl AI's deep learning models. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

extract_data_from_urlget_batch_detailsget_flow_detailsget_model_detailsget_task_statuslist_batcheslist_extraction_modelslist_processing_taskslist_workflowssearch_models_by_name

Tools for your AI Agents to operate Cradl AI

Ask your AI agent "Extract data from this invoice: https://example.com/inv123.pdf using my 'Invoice Parser' model." and get the answer without opening a single dashboard. With 10 tools connected to real Cradl AI 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.

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Cradl AI MCP Server capabilities

10 tools

extract_data_from_url

Touches OCR engine, model prediction, and data normalization boundary. Trigger a new data extraction prediction from a file URL

get_batch_details

Touches individual file statuses and batch-level processing summary boundaries. Get details for a specific batch of documents

get_flow_details

Touches integration points and document routing rules boundaries. Get structure and settings for a specific flow

get_model_details

Touches schema definitions, extraction accuracy metrics, and model metadata boundaries. Get details for a specific extraction model

get_task_status

Resolves confidence scores and extracted key-value pairs from the document. Check the status and results of a document task

list_batches

Resolves batch identifiers, creation dates, and total document counts within each batch. List all document batches

list_extraction_models

Resolves model names, versions, and training statuses for document analysis. List all data extraction models in Cradl AI

list_processing_tasks

Resolves task IDs, statuses (PENDING, COMPLETED, FAILED), and processing timestamps. List recent document processing tasks

list_workflows

Resolves flow IDs, triggers, and configured processing steps. List all document processing flows

search_models_by_name

Resolves model metadata based on a name keyword search. Search for extraction models by name

What the Cradl AI MCP Server unlocks

Integrate Cradl AI, the advanced document data extraction platform, directly into your AI workflow. Automate the processing of invoices, receipts, IDs, and custom forms using powerful deep learning models and natural language.

What you can do

Data Extraction — Trigger real-time data extraction from document URLs with high precision.
Model Management — List and explore your custom-trained extraction models.
Workflow Monitoring — Track the status of document processing flows and individual tasks.
Batch Processing — Audit and retrieve details for entire batches of processed documents.

How it works

1. Connect the Cradl AI integration to your AI assistant.
2. Authorize using your Cradl AI API Key (found in your dashboard).
3. Transform unstructured documents into actionable data via chat.

Who is this for?

Finance Teams — Automate invoice and receipt processing without manual data entry.
Operations Managers — Monitor high-volume document workflows and extraction accuracy.
Developers — Audit model performance and task statuses during integration testing.