How to Use the Cradl AI MCP in Cline

Give Cline the ability to read documents by connecting this MCP Server, turning raw PDFs into structured data for your VS Code projects.

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Connect Cradl AI MCP to Cline

Create your Vinkius account to connect Cradl AI to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cradl AI with Cline

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Extract Data Directly in VS Code

The `extract_data_from_url` tool lets Cline send file links straight to the Cradl AI OCR engine. You tell the agent to process a stack of PDFs, and it feeds them to the API without leaving your editor. Instead of writing polling logic yourself, Cline loops `get_task_status` until the job finishes. It pulls down the extracted key-value pairs and confidence scores, then writes that data directly into your local JSON files or database seeds.

Manage Cradl AI Workflows via MCP Server

Your agent can inspect your entire document routing setup using the `list_workflows` tool. Cline grabs flow IDs, triggers, and the configured processing steps to understand how your documents move. Digging deeper is just as easy with `get_flow_details`. The agent reads the specific integration points and routing rules, making it trivial to write code that interacts with those existing pipelines.

Inspect Extraction Models and Schemas

Cline reads your available data structures by calling `list_extraction_models` to see versions and training statuses. It knows exactly what fields a model supports before writing the code to consume them. If you need specifics, the agent runs `get_model_details` to pull the exact schema definitions and accuracy metrics. It uses this metadata to automatically generate TypeScript interfaces matching your extraction targets.

Setup guide

Set up Cradl AI MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type cradl-ai-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Cradl AI refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "cradl-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Cradl AI MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. You can add the Vinkius endpoint URL through the Remote Servers tab using the Streamable HTTP transport.

That is exactly what it does best. The agent pulls the extracted fields from your documents and immediately generates the boilerplate needed to store or display that data.

It uses the batch listing and details tools to monitor the queue. The agent will wait for the document count to finish processing before moving on to the next development step.

Yes, the integration runs completely inside your editor. The agent reads the OCR results and applies them directly to the files you currently have open.

The connection routes your file URLs and parsed OCR text securely through the V8 Isolate Sandbox. Vinkius handles the authentication while keeping your actual document content ephemeral.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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