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How to Use the Countly MCP in Cline

Let Cline build analytics dashboards and audit Countly event logs directly from your VS Code workspace.

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Cline

Connect Countly MCP to Cline

Create your Vinkius account to connect Countly 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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Build live dashboard components with Cline

This Countly MCP Server connects Cline directly to your analytics database using `read_metrics` and `read_events` to pull real-time usage numbers. You can instruct Cline to build a custom React chart, and it will query your live Countly session counts, write the frontend code, and bind the data points without you leaving VS Code. It bridges the gap between raw data and UI code. It handles the entire implementation loop inside VS Code. Cline calls the Countly metrics tools, grabs the JSON payload, writes the parser, and puts the finished component right in your file tree.

Automate behavioral segmentation audits

The server relies on `read_drill` to let Cline run complex multi-dimensional queries on your enterprise Countly analytics data. When you ask Cline to find why users in a specific region are dropping off, it executes the segmentation query, parses the results, and writes a detailed markdown report in VS Code. It works without requiring you to navigate the web interface. Cline then uses `update_user_details` to tag test accounts or update properties of users who completed specific paths in Countly. You get an automated QA agent in VS Code that cleans up your analytics profiles.

End-to-end session tracking validation

The MCP server exposes `begin_session`, `update_session`, and `end_session` so Cline can simulate complete user lifecycles during testing. Cline writes integration tests that trigger these Countly session tools, ensuring your backend telemetry matches what your analytics dashboard expects. It makes manual browser clicking obsolete. Instead of clicking through your app manually, Cline runs the simulation. It records custom events via `record_events` and inspects the resulting Countly session logs inside VS Code to confirm everything works.

Setup guide

Set up Countly MCP in Cline

Prerequisites

  • VS Code with Cline extension installed
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add a remote server

    Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type countly-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. 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. 4

    Start using tools

    Return to the Cline chat and ask: "Check my latest Countly 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": {
    "countly-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Countly. 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.

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 Countly MCP in Cline

Yes, Cline uses the Countly MCP Server to fetch actual analytics data and then writes the frontend code to render those metrics in your local workspace.
Cline uses `record_events` to send test payloads and then calls `read_events` to verify that your custom properties are registering correctly in the Countly schema.
Yes, Cline can execute `update_user_details` to modify custom properties or user segments directly from the VS Code sidebar interface.
Cline captures the Countly API error returned by the tool, adjusts its query parameters to match your Countly Enterprise schema, and retries the request automatically.
Yes. All Countly analytics data, custom event schemas, and session metrics fetched by Cline are processed in an ephemeral, zero-trust MCP sandbox. Your raw telemetry never persists on Vinkius servers.

Start using the Countly MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Countly. Just plug in your AI agents and start using Vinkius.

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