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Prerequisites Before you begin, create an account and get your API Key.

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Getting started

Connect to Mixpanel to track events, analyze user behavior, and generate insights from your product analytics through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Mixpanel

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

# Create a Strata MCP server with Mixpanel
response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.MIXPANEL],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate with Service Account Credentials

klavis_client.mcp_server.set_strata_auth(
    strata_id=response.strata_id,
    server_name=McpServerName.MIXPANEL,
    auth_data={
        "data": {
            "serviceaccount_username": "YOUR_MIXPANEL_SERVICE_ACCOUNT_USERNAME",
            "serviceaccount_secret": "YOUR_MIXPANEL_SERVICE_ACCOUNT_SECRET"
        }
    }
)
Get your Mixpanel service account credentials from your Mixpanel project settings. These credentials are required to access your analytics data.
🎉 Your Mixpanel MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

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Available Tools

With our progressive discovery approach, Klavis System is capable of enabling all tools for Mixpanel. Please use the get_tools API for more details. If you find any tool that is missing, please reach out to contact@klavis.ai.

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Next Steps

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas

White-label Authentication

Customize OAuth flows with your own branding