xentfi-mcp-http.
1
Deploy the HTTP server
Anywhere that runs Node 18+ — a small VM, Fly.io, Render, Railway, or a container platform:Deploy behind TLS (ChatGPT requires HTTPS), e.g. at
https://xentfi-mcp.yourcompany.com. Health check: GET /healthz.This server is stateless and multi-tenant — don’t set XENTFI_API_KEY in its environment for a shared deployment; each request supplies its own agent key (next step). See Remote HTTP Deployment for full details.2
Configure the auth header
In ChatGPT’s custom connector setup, configure an If you also need the market-data tools (which require an organization ID), add a second custom header:
Authorization header sent with every call:3
Register the connector
In ChatGPT: Settings → Connectors → Advanced settings → Add custom connector (naming and location vary by plan/version):
- Name: XentFi
- MCP Server URL:
https://xentfi-mcp.yourcompany.com/mcp - Authentication: Custom headers as configured above
4
Enable it in a chat
Save, then enable the XentFi connector via the ”+” / tools menu in a chat to let the model call
xentfi_* tools.Notes on trust & scoping
- Keep
xentfi_create_payment’sconfirm: truerequirement in mind: enable ChatGPT’s tool-use/action-review setting for any connector that can move funds, so the call is surfaced for confirmation before it finalizes. - For a read-only assistant (e.g. a portfolio dashboard), issue an API key attached to a Policy with all limits at
0and an empty allowlist, soxentfi_create_paymentalways returnsPOLICY_DENIEDeven if invoked.
Next steps
Remote HTTP Deployment
Full deployment recipes: Docker, reverse proxy, Fly/Render/Railway.
Error Handling
How policy denials and auth failures surface.

