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Mixpanel MCP Connector

by magnitudecontact-eng
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Python
Remote

Mixpanel → ChatGPT MCP Connector (Cloud Run)

This is a no-frills bridge that lets ChatGPT query your Mixpanel project live.

What it exposes

  • POST /tools/search — summarize a segmentation query

  • POST /tools/fetch — return the full Mixpanel JSON for a prior search

  • GET /healthz — health check

Related MCP server: MCP ChatGPT Responses

Environment variables

  • MIXPANEL_BASE — https://mixpanel.com/api or https://eu.mixpanel.com/api or https://in.mixpanel.com/api

  • MIXPANEL_PROJECT_ID — your Mixpanel project id (number)

  • MIXPANEL_SA_USERNAME — service account username

  • MIXPANEL_SA_SECRET — service account secret

  • ALLOWED_EVENTS — optional CSV whitelist (recommended)

Local run (optional)

python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
export $(cat sample.env | xargs) && uvicorn app:app --host 0.0.0.0 --port 8080

Cloud Run (one-time)

gcloud services enable run.googleapis.com cloudbuild.googleapis.com artifactregistry.googleapis.com

REGION=us-central1
REPO=mcp-bridge
IMAGE=${REGION}-docker.pkg.dev/$(gcloud config get-value project)/$REPO/mixpanel-mcp:1

gcloud artifacts repositories create $REPO --repository-format=docker --location=$REGION --description="MCP images" || true

gcloud builds submit --tag $IMAGE .

gcloud run deploy mixpanel-mcp   --image $IMAGE   --region $REGION   --platform managed   --allow-unauthenticated   --min-instances=0   --set-env-vars MIXPANEL_BASE=https://mixpanel.com/api   --set-env-vars MIXPANEL_PROJECT_ID=YOUR_PROJECT_ID   --set-env-vars MIXPANEL_SA_USERNAME=YOUR_SERVICE_ACCOUNT_USERNAME   --set-env-vars MIXPANEL_SA_SECRET=YOUR_SERVICE_ACCOUNT_SECRET   --set-env-vars ALLOWED_EVENTS=sign_up_success,listing_viewed,job_matcher_attempt,search_initiated

After deploy, note the service URL:

  • https://mixpanel-mcp-xxxxx-uc.a.run.app

Testing

  • Health: GET /healthz

  • Search:

POST /tools/search
{"event":"sign_up_success","from_date":"2025-08-24","to_date":"2025-08-31","unit":"day","breakdown":"properties[\"platform\"]"}

  • Fetch the returned id:

POST /tools/fetch
{"objectIds":["<id from search>"]}

Add to ChatGPT

Settings → Connectors → Add → Custom Connector (MCP) → paste your Cloud Run URL.

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One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Resources

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