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Mixpanel MCP Connector

README.md2.26 kB
# 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 ## 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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