Cradl AI MCP Server for Cline 10 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Cradl AI through the Vinkius and Cline gains direct access to every tool — from data retrieval to workflow automation — without leaving the terminal.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Cradl AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"cradl-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cradl AI MCP Server
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.
Cline operates autonomously inside VS Code — it reads your codebase, plans a strategy, and executes multi-step tasks including Cradl AI tool calls without waiting for prompts between steps. Connect 10 tools through the Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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.
The Cradl AI MCP Server exposes 10 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cradl AI to Cline via MCP
Follow these steps to integrate the Cradl AI MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Cradl AI
Ask Cline: "Using Cradl AI, help me..." — 10 tools available
Why Use Cline with the Cradl AI MCP Server
Cline provides unique advantages when paired with Cradl AI through the Model Context Protocol.
Cline operates autonomously — it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Cradl AI + Cline Use Cases
Practical scenarios where Cline combined with the Cradl AI MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Cradl AI and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Cradl AI tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Cradl AI and generates snapshot tests or mocks based on actual payloads
Incident response: query Cradl AI for real-time status and let Cline generate hotfix patches based on the findings
Cradl AI MCP Tools for Cline (10)
These 10 tools become available when you connect Cradl AI to Cline via MCP:
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
Example Prompts for Cradl AI in Cline
Ready-to-use prompts you can give your Cline agent to start working with Cradl AI immediately.
"Extract data from this invoice: https://example.com/inv123.pdf using my 'Invoice Parser' model."
"Check the status of document processing task 't8s9df7'."
"List all extraction models available in my account."
Troubleshooting Cradl AI MCP Server with Cline
Common issues when connecting Cradl AI to Cline through the Vinkius, and how to resolve them.
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Cradl AI + Cline FAQ
Common questions about integrating Cradl AI MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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TypeScript toolkit for building AI-powered web applications.
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Microsoft's framework for multi-agent collaborative conversations.
Connect Cradl AI to Cline
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.