How to Use the DataScope MCP in Cline

Give Cline direct access to your field records through this MCP Server to build internal dashboards and reporting tools inside VS Code.

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Connect DataScope MCP to Cline

Create your Vinkius account to connect DataScope 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 DataScope with Cline

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Build dashboards with this MCP Server

You don't need to read API docs to build an internal tool for your field teams. Cline reads the tool definitions and writes the code for you. Tell it to create a React component that displays recent safety inspections, and it starts working immediately. It uses `list_available_forms` to understand what data exists, then writes the fetch logic for your app. Your agent creates the file, imports the live data structure, and shows you the diff.

Generate audit reports automatically

Pulling compliance records into a readable format takes time. Now you can just ask your agent to generate a markdown report of all failed site inspections from last week. It handles the extraction and formatting process end-to-end. Cline executes `get_submissions_with_metadata` to grab the detailed answers and timestamps. It parses the JSON, structures a clean report in your workspace, and saves the file.

Sync field assets with Cline

Field workers upload photos and sign documents offline, which sync later as PDFs. Getting those files into your local project usually means manual downloads. Your agent automates this entirely. Instruct it to backup recent inspection files. It loops through the records, runs `get_submission_pdf_url` for each one, and writes a bash script to download them all into your assets folder.

Setup guide

Set up DataScope 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 datascope-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 DataScope 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": {
    "datascope-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DataScope. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

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Common questions about DataScope MCP in Cline

Open the sidebar in VS Code and click the server icon. You can add the Vinkius URL via the Remote Servers tab using the Streamable HTTP transport.

Yes, it handles testing automatically. When you ask it to build a component using your form data, it creates the mock data based on the real schema. It then writes and runs the unit tests before showing you the final code.

Your agent can pull location data to cross-reference records. It uses the location tracking tool to find coordinates and filters the submission list based on your specific requirements.

No. You give a high-level command like building a user directory. The agent figures out it needs to call the organization users tool, fetches the data, and writes the component without asking for permission at every step.

Every request for audit forms or PDF URLs runs through an isolated V8 sandbox. Authentication is handled on the backend, meaning your agent only needs a single endpoint token. The connection is ephemeral and destroys itself after execution.

Use it with your favorite AI tools

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

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Pydantic AI sdk-python

Vercel AI SDK sdk-typescript