How to Use the Adikteev MCP in Cline

Q: Can Cline write code that uses my Adikteev data?

Yes. Cline can use tools like getreporting to fetch campaign data and then write a new file, like a component or a script, that uses that exact data. It bridges the gap between getting data and using it in your codebase.

Q: How does Cline create a new Adikteev audience segment?

You can prompt Cline to do it. It will use the createsegment tool from the Adikteev MCP Server. It can either perform the action directly or write a script that you can run yourself.

Use Cline to pull Adikteev data directly into the code you're writing, without leaving VS Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Adikteev MCP to Cline

Create your Vinkius account to connect Adikteev 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.

GDPR Free for Subscribers

Setup Adikteev with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build a reporting component with live data

The `get_reporting` tool fetches your campaign performance data. But with Cline, you don't just get a JSON blob. You can tell your agent, "Build a React component to display my current campaign stats." Cline will call the tool, get the data, and then write the actual JSX and data-fetching logic for the component. It shows you the diff, ready to commit. It doesn't just find data; it builds with it.

Script segment creation inside your IDE

This MCP Server connects Cline to your marketing automation stack. You can tell it to write a script that adds a new audience segment. It's smart enough to use `list_companies` first to get the required ID. Then, it will use the `create_segment` tool to draft the rest of the script. This is for creating repeatable, version-controlled workflows, not just running one-off commands.

Analyze churn scores programmatically

The `get_churn_scores` tool gives you a direct feed of at-risk users. You can instruct Cline to fetch those scores and immediately write a Python script to analyze them or format them into a CSV. It all happens from a single prompt inside VS Code. You get from raw data to a working script without any context switching, which is the entire point.

Setup guide

Set up Adikteev 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 adikteev-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 Adikteev 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": {
    "adikteev-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 Adikteev. 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 Adikteev 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 Adikteev MCP in Cline

The easiest way is through the MCP Marketplace tab in the Cline sidebar for a one-click install. You can also add it manually by pasting the server URL in the Remote Servers tab. Cline finds the tools instantly.

Yes. Cline can use tools like `get_reporting` to fetch campaign data and then write a new file, like a component or a script, that uses that exact data. It bridges the gap between getting data and using it in your codebase.

You can prompt Cline to do it. It will use the `create_segment` tool from the Adikteev MCP Server. It can either perform the action directly or write a script that you can run yourself.

No. It's for any developer who needs to interact with Adikteev data programmatically from their editor. If you're building internal tools or data dashboards, this saves you from having to mess with a separate API.

Yes. Your data—including audience segments and performance metrics—is accessed via a secure HTTP transport managed by the Vinkius platform. The data only exists in memory for the duration of the task Cline is performing and is never stored on disk by the client.

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