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 Klavisfrom klavis.types import McpServerNameklavis_client = Klavis(api_key="YOUR_API_KEY")# Create a Strata MCP server with Mixpanelresponse = klavis_client.mcp_server.create_strata_server( servers=[McpServerName.MIXPANEL], user_id="user123")
userId specifies whose connected accounts and data you are accessing in Klavis. It should be a unique id for yourself, your team, or your organization.
# Pull the Docker imagedocker pull ghcr.io/klavis-ai/mixpanel-mcp-server:latest# Run with Mixpanel service account credentialsdocker run -p 5000:5000 \ -e AUTH_DATA='{"data":{"serviceaccount_username":"your_username","serviceaccount_secret":"your_secret"}}' \ ghcr.io/klavis-ai/mixpanel-mcp-server:latest
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.