No install? Use cloud.anythingmcp.com directly.
Sign in, install the Heap in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Send events, identify users and update properties in Heap (product analytics) from any AI agent. 5 tools, app_id-based auth.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Heap, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Heap + Gemini
Send events, identify users and update properties in Heap (product analytics) from any AI agent. 5 tools, app_id-based auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
HEAP_APP_ID
Step 1 — Get credentials
heap.io/docs/server-side-apis).
Setup:
- Sign in to https://app.heap.io → top-right → Account → Projects → select project → Project ID (called
app_id). - Set
HEAP_APP_IDto the numeric app/project ID.
Authentication: NONE — Heap's server-side API uses the app_id in the request body to route events to your project. There's no secret on the ingestion endpoint (anyone with your app_id can fake events — same trust model as Google Analytics client-side JS).
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Add the connector in Gemini
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → Profile → MCP API Keys → New Key.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Heapshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcpto thetoolsarray of your request with the same Bearer header.
Available tools
| Tool | What it does |
|---|---|
heap_track_event | Track a single behavioral event for a user |
heap_bulk_track | Bulk-track many events in one call (up to 1000 events, 1MB total) |
heap_add_user_properties | Set or update user-level properties (Heap merges with existing) |
heap_add_account_properties | Set or update properties on an account (B2B model — accounts group users) |
heap_add_user_to_account | Associate a user (identity) with an account (account_id) |
FAQ
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with Bearer headers.
Next steps
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