How to Use the Adobe Analytics MCP in Cline
Tell Cline to build a dashboard. It will fetch the Adobe Analytics data, write the code, and stage the commit for you. All inside VS Code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Adobe Analytics MCP to Cline
Create your Vinkius account to connect Adobe Analytics 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.
Build Components with Live Analytics Data
The `get_report` tool lets Cline fetch live Adobe Analytics data directly into your project. Ask it to build a component that displays top pages, and it will call the tool, get the JSON data, and write the front-end code to render it. Cline handles the entire workflow. It can `list_report_suites` to find the correct data source, `get_report` to fetch user stats, and then generate the actual React or Vue component file. You just review the diff.
Automate Analytics Setup for Cline
Use the `list_report_suites`, `get_dimensions`, and `get_metrics` tools to script your analytics configuration. Cline can write helper functions or config files based on what's actually available in your Adobe Analytics account. For example, tell Cline: 'Create a TypeScript enum with all available metrics for the main production suite.' It will use the `get_metrics` tool and generate the file for you. This MCP Server makes your agent aware of your data structure.
Write Code Based on Audience Segments
The `list_segments` tool gives Cline insight into your user audiences. You can instruct it to create custom logic or components tailored to specific segments. Ask Cline to 'scaffold an A/B test for the High-Value Customers segment.' It will first call `list_segments` to confirm the segment exists and get its ID, then write the necessary feature flag or conditional rendering logic in your application code.
Set up Adobe Analytics 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
adobe-analytics-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 Adobe Analytics refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.
{
"mcpServers": {
"adobe-analytics-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 Adobe Analytics. 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.
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Common questions about Adobe Analytics MCP in Cline
Use it with your favorite AI tools
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Start using the Adobe Analytics MCP today
We host it, we monitor it, we maintain it. You just paste one token.