How to Use the Zengain MCP in Claude Code

Q: How do I analyze leads using Zengain in Claude Code?

You construct a script that first calls getanalyticssummary. Then, the shell script processes that JSON output to determine if an account is warm enough for outreach. It's all done without a terminal GUI.

Q: What product data can I process with Zengain using Claude Code?

You use getproduct in your script. The raw output feeds directly into variable assignment within your shell environment, allowing for immediate programmatic checks on pricing or features.

Q: Can Zengain manage user data when running background jobs with Claude Code?

Yes. You can run listusers to get a roster of accounts. The resulting list is piped into an authentication script that checks if the account status passes certain criteria.

Q: If I need to track an event for Zengain in Claude Code, what command do I use?

You execute trackevent via your scripting language. The payload is passed as arguments, and the script captures the confirmation output for logging purposes.

Run Zengain analytics scripts headless in your CI/CD pipeline using Claude Code.

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Create your Vinkius account to connect Zengain 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 Zengain with Claude Code

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Generate lead reports for pipelines

You pipe the output of `get_analytics_summary` directly into a shell script. The script then formats it, perhaps calculating conversion rates or identifying top products using data from `list_kpms`. This makes it perfect for running nightly jobs in Docker containers without any GUI overhead.

Verify system health checks

Need to check the customer's status before deployment? You run `get_health_score`. The output is a clean, machine-readable JSON object that your CI/CD pipeline can check for success codes. It's reliable, headless execution. If the score falls below threshold X, the script fails immediately.

Inventory all available assets

Listing everything is easy from the terminal. You run `list_products` or `list_users`. The output streams directly to `stdout`, which you can then pipe into a database loader script. This handles large datasets efficiently, making it ideal for setup scripts and pre-flight checks.

Setup guide

Set up Zengain 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 zengain-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

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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 Zengain 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": {
    "zengain-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Zengain MCP in Claude Code

You construct a script that first calls `get_analytics_summary`. Then, the shell script processes that JSON output to determine if an account is warm enough for outreach. It's all done without a terminal GUI.

You use `get_product` in your script. The raw output feeds directly into variable assignment within your shell environment, allowing for immediate programmatic checks on pricing or features.

Yes. You can run `list_users` to get a roster of accounts. The resulting list is piped into an authentication script that checks if the account status passes certain criteria.

You execute `track_event` via your scripting language. The payload is passed as arguments, and the script captures the confirmation output for logging purposes.

This server touches core operational metrics. You're dealing with `get_health_score` and the structured, serialized records found in `list_kpms`.

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