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How to Use the Kissmetrics MCP in Windsurf

Give Cascade direct access to your Kissmetrics event data right inside Windsurf via this MCP Server.

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…and any MCP-compatible client

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Windsurf

Connect Kissmetrics MCP to Windsurf

Create your Vinkius account to connect Kissmetrics to Windsurf 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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Map user journeys with the Kissmetrics MCP Server

The `alias_identities` tool lets Cascade link anonymous browser sessions to authenticated user emails automatically. You just tell Windsurf to reconcile the latest login events, and the agent handles the API calls. It figures out the mapping logic without you writing a custom script. Once the identities match up, Cascade can trigger `record_event` to log the successful merge. Your agent builds the entire sequence in the background. You get clean funnel data without leaving the editor.

Audit tracking schemas autonomously

Calling `list_event_types` gives your AI client an instant readout of every behavior you currently track. Cascade reads this schema, spots missing telemetry in your codebase, and proposes the exact tracking calls you need. It knows what events already exist before writing new code. The agent follows up by checking `list_property_names` to ensure the new calls use standardized payload keys. Instead of guessing if a property is named `user_id` or `userId`, Windsurf pulls the source truth. Your event taxonomy stays perfectly aligned.

Pull live funnel metrics into your workspace

Executing `query_metric_data` pulls historical conversion numbers directly into your Windsurf terminal. Cascade takes a metric ID, formats the query parameters, and returns the raw data. You ask for the monthly churn rate, and the agent fetches it. If you need a specific segment, the agent runs `query_people_count` to find exactly how many users match the criteria. Windsurf then formats those numbers into a markdown table or injects them into your weekly report document. The context shift drops to zero.

Setup guide

Set up Kissmetrics MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Kissmetrics 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Kissmetrics payment history." If connected, Cascade will call the Kissmetrics tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "kissmetrics-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 Kissmetrics. 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 Kissmetrics MCP in Windsurf

Open your `mcp_config.json` file in `~/.codeium/windsurf/` and add the server details. You can also use the Settings -> Cascade -> MCP Servers UI to connect it. Hit refresh in the panel and Cascade will discover the tools immediately.
Yes. Cascade reads your existing schema via `list_event_types` and writes the exact implementation for your app. It checks the live data to prevent duplicate event names.
You avoid context switching. Cascade pulls `query_metric_data` straight into your editor while you write code. It lets you verify that your new tracking implementation actually works before you commit.
Cascade operates autonomously but shows you its planned steps. It will map out the `record_event` payloads and execute them based on your prompts. You set the goal, and the agent handles the API sequence.
This server handles raw user emails, browser IDs, and behavioral property payloads. Windsurf processes this identity data locally in memory to execute your commands. The agent discards the PII as soon as the session ends.

Start using the Kissmetrics MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

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

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