How to Use the DataScope MCP in Claude Code

Pipe DataScope field data straight into your terminal with Claude Code for headless automation and cron jobs.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DataScope MCP to Claude Code

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

GDPR Free for Subscribers

Setup DataScope with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Script audits with this MCP Server

Terminal users don't want to click through a web UI to check field data. You can now run a single command to extract inspection answers and pipe them into your existing shell scripts. The agent runs headlessly, grabbing exactly what you need. Set up a cron job that triggers your agent every night. It fires `list_form_submissions`, filters for critical flagged items, and pipes the output into a Slack webhook or a local log file.

Headless metadata extraction

Managing a large field team requires constant monitoring of who is submitting what. Doing this from the command line means you can integrate the checks directly into your CI/CD pipelines. Your agent executes `get_submissions_with_metadata` to pull the exact timestamps and user IDs. It then cross-references this with `list_organization_users` to generate a daily plain-text summary of team activity, all without leaving your SSH session.

Track locations via Claude Code

Sometimes you need to verify where field workers are operating before deploying backend updates. You can trigger location checks directly from your terminal prompt. Because this is a managed MCP integration, the agent fetches the coordinates and formats them for your specific pipeline. By calling `list_tracked_locations`, the tool pulls the latest GPS pings. You can pipe this data into jq or have your agent format it as a CSV for immediate analysis.

Setup guide

Set up DataScope MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see datascope-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest DataScope transactions." It will automatically discover and invoke the available DataScope tools.

Terminal

claude mcp add --transport http datascope-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the DataScope MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "datascope-mcp": {
      "type": "url",
      "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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DataScope now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DataScope MCP in Claude Code

Run the add command with the HTTP transport flag. Make sure to put `--transport http` before the server name. The configuration saves automatically to your `~/.claude.json` file.

Yes. You can run the CLI headlessly inside your CI/CD pipeline. It authenticates via environment variables and pulls form submissions to validate deployments or generate automated compliance logs.

Ask your agent to fetch the document for a specific submission ID. It uses the PDF tool to grab the raw URL, which you can then pass directly to curl or wget to download the file.

You can pipe the output of any command into the agent. Pass a list of user IDs from a text file, and it will loop through them to fetch corresponding field submissions.

Vinkius manages the connection through a zero-trust architecture. When you request tracked locations or user metadata, the process runs in an ephemeral sandbox. No data persists after the CLI process terminates.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript