lionbank-wealth
MCP server that answers market and wealth-management questions using only HSBC Private Banking insights published at privatebanking.hsbc.com, via OpenAI web search restricted to that domain. It exposes a single tool, lionbank_wealth_insight, for use in ChatGPT Developer mode.
README
lionbank-wealth
A ChatGPT app (MCP server) that answers market and wealth-management questions
using only the insights published by HSBC Private Banking at
privatebanking.hsbc.com. Once connected
to ChatGPT in Developer mode, users enable lionbank-wealth from the composer's
tools menu and ask a question directly in chat.
How it works
The server exposes a single MCP tool, lionbank_wealth_insight(query). It makes one
call to OpenAI's Responses API with the built-in web_search tool, restricted via
filters.allowed_domains to privatebanking.hsbc.com. The model searches that
site, then answers the user's question from what it finds, citing the specific
page(s) used. If nothing relevant exists on the site, it says so instead of
falling back on outside knowledge.
Built with FastMCP (Python) and served over the MCP Streamable HTTP transport, which is what lets it run as a normal HTTP container on Cloud Run.
Project layout
| File | Purpose |
|---|---|
server.py |
The MCP server and the lionbank_wealth_insight tool |
requirements.txt |
Python dependencies (fastmcp<3, openai) |
Dockerfile |
Container image for Cloud Run |
.env.example |
Required environment variables for local runs |
Configuration
| Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY |
yes | OpenAI API key used server-side for search + answering |
OPENAI_MODEL |
no (default gpt-5.6-luna) |
Model used for the Responses API call — must support the web_search tool |
PORT |
no (default 8080) |
Port the HTTP server binds to (Cloud Run sets this automatically) |
Run locally
pip install -r requirements.txt
OPENAI_API_KEY=sk-your-key python server.py
The server listens on http://0.0.0.0:8080/mcp.
Test locally
Quick structural check (no OpenAI call):
fastmcp inspect server.py
Call the tool against a running server:
fastmcp call http://127.0.0.1:8080/mcp lionbank_wealth_insight query="What is HSBC's outlook on gold?"
Interactive browser UI:
fastmcp dev inspector server.py
Test the real ChatGPT connection flow before deploying, tunnel the local server with a public HTTPS URL:
ngrok http 8080
then use the printed https://....ngrok-free.app/mcp URL as the MCP server URL
when adding the connection in ChatGPT (see below).
Deploy to Cloud Run
gcloud config set project YOUR_PROJECT_ID
gcloud services enable run.googleapis.com cloudbuild.googleapis.com secretmanager.googleapis.com
# store the OpenAI key as a secret rather than a plain env var
printf '%s' 'sk-...' | gcloud secrets create openai-api-key --data-file=-
gcloud run deploy lionbank-wealth \
--source . \
--region us-central1 \
--allow-unauthenticated \
--set-secrets=OPENAI_API_KEY=openai-api-key:latest \
--set-env-vars=OPENAI_MODEL=gpt-5.6-luna \
--min-instances=0 \
--max-instances=2
--allow-unauthenticatedis required — ChatGPT calls this endpoint directly and this server doesn't implement OAuth, so Cloud Run's IAM auth would block it.--min-instances=0means the service scales to zero when idle (no cost while unused), at the cost of a cold start on the first request after idling.--max-instances=2caps how far it can scale under load, which also caps worst-case cost since there's no auth to stop someone from hammering the endpoint (see Known limitations).- The MCP endpoint is the printed Cloud Run service URL +
/mcp.
Verify the deployment:
curl -s https://YOUR-SERVICE-URL/mcp -X POST \
-H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
Connect it in ChatGPT
- Settings → Security and login → turn on Developer mode. (Availability depends on account/workspace policy.)
- Go to chatgpt.com/plugins and select the + button to add a server.
- Enter a user-facing name (
lionbank-wealth) and description. - Under Connection, choose the public-endpoint option and enter the MCP
server URL, including the
/mcppath:https://YOUR-SERVICE-URL/mcp. - Select Create the connection — ChatGPT connects and lists the tools it
discovered (
lionbank_wealth_insight). No authentication step is needed since this server doesn't require any. - Start a new conversation, open the composer's tools menu, enable the
lionbank-wealthconnection, and ask your question.
If ChatGPT can't connect, verify the public HTTPS endpoint with MCP Inspector first (see Test locally) before retrying step 5.
This makes the app usable from your own ChatGPT account only (Developer mode). Making it installable/discoverable for other users requires packaging it as a plugin and submitting it through OpenAI's review process separately.
Known limitations
- No auth on the endpoint — anyone with the URL can call it and consume your
OpenAI quota.
--max-instances=2caps concurrent scale, but set a usage budget/alert on the OpenAI project too — it's the real backstop on cost. web_searchcalls have their own OpenAI API cost, separate from model tokens.
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