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How to Use the Kissmetrics MCP in Claude Code

Pipe Kissmetrics analytics directly into your terminal with Claude Code.

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Claude Code

Connect Kissmetrics MCP to Claude Code

Create your Vinkius account to connect Kissmetrics 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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Script headless tracking pipelines

The `record_event` tool lets Claude Code push server-side behavior logs directly from your command line using this MCP server. You can wire this into a post-deploy bash script to track release metrics automatically. The CLI formats the identity payload and fires the request without any graphical interface. You can chain this with `set_person_properties` to update user states during a database migration. Your agent reads a CSV of user IDs, loops through them, and updates the Kissmetrics profiles. The entire operation runs headless in your terminal.

Monitor the Kissmetrics MCP Server from the CLI

Running `query_metric_data` allows your terminal agent to fetch live conversion stats during an incident. If you suspect a release broke the checkout flow, Claude Code pulls the historical metric ID and compares it to the last hour. You get immediate operational context. The agent follows up by executing `query_people_count` to see exactly how many accounts hit the error state. You pipe that output directly into a Slack notification script. Your incident response gets backed by hard product data instantly.

Audit tracking schemas in CI/CD

Triggering `list_event_types` lets Claude Code validate your event dictionary during a GitHub Action. The agent pulls the live schema and compares it against the tracking calls in your pull request. It fails the build if a developer tries to introduce an undocumented event name. It performs the same check using `list_property_names` to enforce payload consistency. You stop bad data from polluting your analytics before the code ever merges. The CLI handles the validation step entirely in the background.

Setup guide

Set up Kissmetrics 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. 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. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see kissmetrics-mcp with a green status indicator.

  3. 3

    Start using tools

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

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

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Common questions about Kissmetrics MCP in Claude Code

Run `claude mcp add --transport http kissmetrics -- ` in your terminal. Make sure all flags come before the server name. Use `claude mcp list` to verify the connection.
Yes. You can prompt the CLI to execute `record_event` based on local file changes or cron triggers. It acts as a headless bridge to your analytics account.
Terminal users need data where they work. Pulling `query_people_count` directly into your SSH session saves you from opening a browser during a deployment. It keeps your workflow entirely text-based.
You can write a script that feeds user pairs into the `alias_identities` tool. The CLI reads your database dump and maps the anonymous IDs to known emails in bulk.
This integration touches raw email addresses and granular behavioral logs. Claude Code processes these properties locally in your shell environment. The terminal history is the only place the `set_person_properties` payload touches disk.

Start using the Kissmetrics MCP today

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