mcp-server-demo
Allows interaction with a PostgreSQL database, providing tools for listing cases, retrieving case details, and adding notes to cases.
Click on "Install 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., "@mcp-server-demoshow me the list of cases"
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.
MCP Server Demo — Node/Express + PostgreSQL + Model Context Protocol
A minimal, production-pattern example of an MCP server that exposes database-backed tools to an AI client, secured with an OAuth-style bearer flow. Built to demonstrate the architecture I use in real systems, with demo data only — no real records, keys, or credentials.
Author: Robert Mack · Full-stack / AI-automation engineer · Remote, contract/fractional
What this demonstrates
MCP server exposing typed tools an AI model can call (
list_cases,get_case,add_note)PostgreSQL as the backing store, with a clean data-access layer (no SQL in the route handlers)
OAuth 2.0–style bearer-token auth on the protected endpoints (PKCE-ready pattern)
Express REST API with input validation and structured error handling
Docker / docker-compose for one-command local spin-up (API + database)
Separation of concerns: routes → service layer → db layer
This is the same shape as the production systems I build — an operations platform with an AI control layer that can act on live data safely, because every tool call is authenticated, validated, and scoped.
Architecture
AI client ──(MCP / bearer token)──> Express API ──> service layer ──> PostgreSQL
│
└── tool registry: list_cases, get_case, add_notesrc/server.js— Express app, auth middleware, MCP endpoint wiringsrc/mcp.js— tool registry: each tool's schema + handlersrc/db.js— PostgreSQL access layer (parameterized queries only)src/auth.js— bearer-token validation (OAuth2/PKCE-ready)schema.sql— demo table + seed datadocker-compose.yml— API + Postgres, one command
Run it locally
# 1. Start Postgres + API together
docker compose up --build
# 2. The API is now on http://localhost:3000
# A demo bearer token is printed on startup (demo only — never hardcode real tokens)
# 3. List the MCP tools
curl -H "Authorization: Bearer demo-token-123" http://localhost:3000/mcp/tools
# 4. Call a tool
curl -X POST http://localhost:3000/mcp/call \
-H "Authorization: Bearer demo-token-123" \
-H "Content-Type: application/json" \
-d '{"tool":"list_cases","args":{}}'Notes on production use
In a real deployment the bearer token is issued via a full OAuth 2.0 + PKCE flow (not the static demo token here), the database runs as a managed/containerized service with secrets injected at runtime (never committed), and the server runs behind TLS. This repo keeps those pieces deliberately simple so the patterns are readable in one sitting.
License
MIT — demo/educational use.
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