# Cradl AI MCP for AI Agents AI Agent Connect

> Cradl AI MCP lets your AI agent pull structured data from documents like invoices, IDs, and receipts. It handles the messy OCR and data normalization so you get clean, usable fields instantly. Perfect for automating high-volume paperwork without manual entry.

## Overview
- **Category:** artificial-intelligence
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_cKCc9rOwoSIb5VyjCclfT9VsRpnAzqU3YLuFHFXM/ai-agent-connect
- **Tags:** ocr, data-extraction, deep-learning, document-processing, automation, structured-data

## Description

Cradl AI is a document data extraction platform that plugs directly into your AI workflow. Imagine your team spends hours manually typing data from PDFs into a spreadsheet. It's slow, and it's easy to miss a decimal point or a tax ID. Cradl AI changes that. This Connector lets your AI agent act as a high-speed data entry clerk that never gets tired. You can point your agent at a document URL, and it will pull out the specific information you need, like line items, dates, or totals. It handles the heavy lifting of OCR and data normalization, giving you clean, usable data instead of a messy file. You can manage your own custom-trained models and monitor your processing workflows in real-time. Finding this through the Vinkius catalog makes it easy to plug this capability into your existing tools. Whether you're processing thousands of receipts or verifying IDs, you get a system that understands the content of your documents as well as a human does, but at a fraction of the time. You get to stop worrying about the paperwork and start using the actual data.

## Tools

### get_batch_details
Get details for a specific batch of documents. Use this to see the summary of a large group of files.

### get_flow_details
Get structure and settings for a specific flow. This helps you understand how documents are routed through your system.

### get_model_details
Get details for a specific extraction model. Use this to see accuracy metrics and metadata for your models.

### get_task_status
Check the status and results of a document task. This tells you if a specific file was processed and what the confidence score was.

### list_batches
List all document batches. Use this to see all your processed groups and their total document counts.

### list_extraction_models
List all data extraction models in Cradl AI. Use this to see which models are trained and ready for use.

### list_processing_tasks
List recent document processing tasks. This gives you a quick view of all pending, completed, or failed tasks.

### search_models_by_name
Search for extraction models by name. This helps you find specific models quickly in a large library.

### extract_data_from_url
Trigger a new data extraction prediction from a file URL. This lets your agent pull data from a link instantly.

### list_workflows
List all document processing flows. This lets you see all your configured triggers and processing steps.

## Prompt Examples

**Prompt:** 
```
Extract the total and tax from this invoice: https://example.com/inv.pdf using the 'Invoice' model.
```

**Response:** 
```
I've started extracting data from that invoice. I'll let you know as soon as the 'Invoice' model finishes. Would you like me to put the totals into a table for you?
```

**Prompt:** 
```
Check the status of task t8s9df7.
```

**Response:** 
```
Task t8s9df7 is 100% complete. Cradl AI extracted 15 fields with a 98.5% average confidence score. Here is the data:

| Field | Value |
| :--- | :--- |
| Total | $1,240.50 |
| Tax | $95.00 |
| Date | 2023-10-01 |
```

**Prompt:** 
```
List my available models.
```

**Response:** 
```
You have 3 models ready to go: 'Invoice Parser', 'ID Document Scanner', and 'Receipt Extractor'. Which one do you want to use?
```

## Capabilities

### Extract structured data from URLs
Your agent can pull specific fields from a document link instantly.

### Manage custom extraction models
Explore and manage your own trained models for specific document types.

### Monitor processing workflows
Track the status and routing of your document processing flows.

### Audit document batches
Retrieve details and summaries for large groups of processed files.

### Check task results
Get confidence scores and extracted key-value pairs for specific tasks.

## Use Cases

### Automated Invoice Processing
A finance lead asks the agent to pull totals from a pile of PDF invoices. The agent uses extract_data_from_url and get_task_status to provide a summary table.

### ID Verification Workflows
A security admin needs to check IDs. The agent uses a specific model to extract names and dates from uploaded images.

### Batch Receipt Auditing
An ops manager wants to know how many receipts were processed today. The agent uses list_batches and get_batch_details to report the count.

### Model Accuracy Testing
A developer wants to see if a new model is accurate. They use get_model_details to check the latest extraction metrics.

## Benefits

- Stop manual data entry by using extract_data_from_url to turn PDFs into structured data.
- Monitor your entire pipeline with list_workflows to see exactly how documents move.
- Verify accuracy with get_task_status to see confidence scores for every extracted field.
- Manage your library with list_extraction_models to keep your custom models organized.
- Audit large volumes of work using get_batch_details to see summaries of thousands of files.
- Speed up development by using list_processing_tasks to debug your document flows.

## How It Works

The bottom line is you turn messy PDFs into clean data without clicking a single button.

1. Connect the Cradl AI MCP to your AI client using your API key.
2. Provide your agent with a document URL or a batch ID.
3. Receive structured JSON data or a summary report of the extraction.

## Frequently Asked Questions

**What can Cradl AI do for my business?**
It extracts structured data from documents like invoices and IDs so you don't have to type it in manually.

**Can Cradl AI handle different types of documents?**
Yes, it works on invoices, receipts, IDs, and even your own custom forms.

**How does Cradl AI improve my data accuracy?**
It uses deep learning to identify fields and provides confidence scores so you know the data is reliable.

**Can I use Cradl AI to process documents in bulk?**
Yes, you can use it to handle entire batches of documents at once and get a summary of the results.

**How do I connect Cradl AI to my AI agent?**
You just need your API key from the Cradl AI dashboard to link it to your client.

**Does Cradl AI work with my custom forms?**
Yes, it supports custom-trained models so you can extract data from your specific company documents.

**Can I see the progress of my document processing?**
Yes, you can check the status of individual tasks or see the summary of entire batches in real-time.

**How do I get a Cradl AI API Key?**
Log in to your Cradl AI dashboard and navigate to the API section to generate a new key. Ensure you keep this key secure.

**Which document formats are supported?**
Cradl AI supports major formats including PDF, JPEG, PNG, and TIFF for data extraction.

**Can I train custom models via chat?**
This integration currently focuses on executing extractions and monitoring tasks. Model training should be performed through the Cradl AI dashboard.