How to Use the Adobe Customer Journey Analytics (CJA) MCP in Claude Code

Q: Can I automate Adobe Customer Journey Analytics (CJA) reporting in my shell using Claude Code?

Yes, you can trigger getreport via command-line prompts. Claude Code processes the payload and formats the results so you can pipe them directly to other CLI utilities.

Q: How does Claude Code audit schemas in Adobe Customer Journey Analytics (CJA)?

It queries listdataviews and getdataviewmetrics to inspect your active setups. This allows you to check tracking configurations without opening a browser.

Q: Can I script cohort analysis for Adobe Customer Journey Analytics (CJA) using Claude Code?

Yes, Claude Code calls listfilters to fetch your audience segments. You can then run scripts that apply these filters to raw reports directly from your terminal.

Q: How do I add this MCP Server to my CLI configuration?

Run the claude mcp add command with the HTTP transport flag and the server URL. The configuration is saved instantly to your local JSON settings.

Pipe Adobe Customer Journey Analytics (CJA) reports directly into your terminal or CI/CD pipelines with Claude Code.

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Connect Adobe Customer Journey Analytics (CJA) MCP to Claude Code

Create your Vinkius account to connect Adobe Customer Journey Analytics (CJA) 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.

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Setup Adobe Customer Journey Analytics (CJA) with Claude Code

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Command-line journey reporting via Claude Code

The `get_report` tool pulls cross-channel customer journeys from Adobe Customer Journey Analytics (CJA) directly into your terminal. Claude Code executes the query and formats the raw payload as clean CSV or JSON. You can easily pipe this output into local scripts, grep for specific anomalies, or redirect the data to your terminal dashboard tools.

Shell-driven schema validation with MCP Server tools

Executing the `list_data_views` tool verifies schema consistency inside your CI/CD pipelines. This MCP Server lets Claude Code check `get_data_view_dimensions` during automated deployment runs. If a production release accidentally drops a tracking dimension, your automated scripts can catch the mismatch before it breaks your upstream reports.

Automated connection health checks

Through the `list_connections` tool, you can audit active Adobe Experience Platform links directly from the shell. The MCP Server lets you monitor your data ingestion pipelines without opening a browser. This lets you write quick cron jobs that ping your connection status and alert your team when data ingestion lags behind schedule.

Setup guide

Set up Adobe Customer Journey Analytics (CJA) 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 adobe-customer-journey-analytics-cja-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Adobe Customer Journey Analytics (CJA) transactions." It will automatically discover and invoke the available Adobe Customer Journey Analytics (CJA) tools.

Terminal

claude mcp add --transport http adobe-customer-journey-analytics-cja-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 Adobe Customer Journey Analytics (CJA) 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": {
    "adobe-customer-journey-analytics-cja-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 Adobe CJA. 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 Customer Journey Analytics (CJA) MCP in Claude Code

Yes, you can trigger `get_report` via command-line prompts. Claude Code processes the payload and formats the results so you can pipe them directly to other CLI utilities.

It queries `list_data_views` and `get_data_view_metrics` to inspect your active setups. This allows you to check tracking configurations without opening a browser.

Yes, Claude Code calls `list_filters` to fetch your audience segments. You can then run scripts that apply these filters to raw reports directly from your terminal.

Run the `claude mcp add` command with the HTTP transport flag and the server URL. The configuration is saved instantly to your local JSON settings.

The server runs inside a secure, locked-down Vinkius V8 container. Your API secret keys and customer interaction reports are processed on the fly and wiped the second the CLI command exits.

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