Integrate Cradl AI with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiExtract data from url on Cradl AI
Touches OCR engine, model prediction, and data normalization boundary. Trigger a new data extraction prediction from a file URL
Get batch details on Cradl AI
Touches individual file statuses and batch-level processing summary boundaries. Get details for a specific batch of documents
Get flow details on Cradl AI
Touches integration points and document routing rules boundaries. Get structure and settings for a specific flow
Get model details on Cradl AI
Touches schema definitions, extraction accuracy metrics, and model metadata boundaries. Get details for a specific extraction model
Get task status on Cradl AI
Resolves confidence scores and extracted key-value pairs from the document. Check the status and results of a document task
List batches on Cradl AI
Resolves batch identifiers, creation dates, and total document counts within each batch. List all document batches
List extraction models on Cradl AI
Resolves model names, versions, and training statuses for document analysis. List all data extraction models in Cradl AI
List processing tasks on Cradl AI
Resolves task IDs, statuses (PENDING, COMPLETED, FAILED), and processing timestamps. List recent document processing tasks
List workflows on Cradl AI
Resolves flow IDs, triggers, and configured processing steps. List all document processing flows
Search models by name on Cradl AI
Resolves model metadata based on a name keyword search. Search for extraction models by name
Security & Code Integrity Audit
Every tool in the Cradl AI 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
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
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.
Automated Workflows using Cradl AI
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
LLM Orchestration for ocr
The Cradl AI 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 Cradl AI MCP handles the payload formatting required for ChatGPT and Claude to interface with artificial intelligence endpoints.
Cradl AI. 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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