Glass Bank
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Glass BankShow my recent transactions and current balance."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Glass Bank
A public remote MCP server for a fictional bank, plus an X-ray dashboard that shows in real time everything the server observes about a session: which tools were listed and called, with which arguments and rationale, what came back, how long it took, the auth and session facts behind it, and which of five actors - client app, model, this server, our engine, this page - authored each value.
Every bank operation is mocked. Data is generated deterministically from a seed and lives in memory, with a per-grant SQLite scratch database for the Ramp-style "load, then SQL" pattern. The tool surface, scope model and OAuth shape follow Ramp's public MCP work; the observability layer is ours.
State (2026-09-26): deployed on Cloud Run (service mcp-bank, project lake-fraude) by the GitHub Actions pipeline of https://github.com/frbarreto/glassbank on every push to main; live at https://mcp-bank-520283334162.us-central1.run.app (/mcp, /xray, /health). npm run check green, contracts v0.6. Next: the hostname glassbank-mcp.abovethefog.app, then real clients (Codex and ChatGPT connected earlier through a tunnel; no claude.ai account yet). See docs/BUILD_PLAN.md.
Try it
npm ci
npm run build && npm start # http://localhost:8080 (/mcp, /authorize, /.well-known/*, /xray)
npm run login -- --write # opens the mock login and consent pages, writes .glass-bank-token.json
npm run e2e # 151 scripted checks: OAuth, read flow, write flow, step-up, dashboard APIOpen http://localhost:8080/xray/?fixture=1 to see the dashboard replay a recorded session, or connect a real MCP client to http://localhost:8080/mcp and ask it for xray_get_session_link. docs/LOCAL_TESTING.md is the full walkthrough; infra/local/cloudflared.md exposes the laptop to a remote client.
Related MCP server: Meridian Bank MCP Server
How it fits together
flowchart LR
C["MCP client (claude.ai, Claude Code, Codex, Inspector)"] -->|"OAuth 2.1 + MCP over HTTPS"| S
B["Browser"] -->|"HTTPS + SSE"| S
subgraph S["one process, one origin, one Cloud Run instance"]
A["mcp-server: mock OAuth AS, /mcp transport, 17 tools, bank-core, scratch SQLite"]
X["xray: event log, SSE stream, JSON API, static dashboard under /xray"]
A -. "XrayEvent (in-process emitter)" .-> X
endDocuments
Document | Answers |
Conventions, invariants, verified commands, and the full document index | |
Running it and driving it end to end | |
Blocks, stack, auth sequence, decisions (ADR-x) | |
The 17 tools; the event contract and dashboard | |
Cloud Run | |
One page per block | |
What was copied from Ramp; numbered assumptions and decisions |
MIT licensed; Ramp's notice and the copied fragments are listed in THIRD_PARTY_NOTICES.md. Everything in the repository is in English.
This server cannot be deployed
Maintenance
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