MCP Demo SQLite Weather
Provides tools for interacting with a local SQLite database, including listing tables, running queries, and executing write operations, enabling data retrieval and manipulation through an ecommerce schema.
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 Demo SQLite WeatherWho is our top customer and what's the weather in their city?"
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 Demo — SQLite + Live Weather
A practical MCP demo where GPT-4o can query a real database and fetch live weather — two completely unrelated capabilities — through a single MCP server.
mcp-demo/
├── server.py # MCP server: SQLite tools + weather tool
├── seed.py # Populates ecommerce.db with sample data
├── client.py # OpenAI GPT-4o agentic loop
├── requirements.txt
└── README.mdWhy this showcases MCP's value
The server owns two completely unrelated capabilities:
Tool group | Tools | Backed by |
SQLite |
|
|
Weather |
| wttr.in public API |
The client (client.py) discovers both at startup — zero hardcoded tool logic.
Swap GPT-4o for Claude Desktop or Cursor tomorrow; server.py doesn't change at all.
Related MCP server: mcp-weather
Setup
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
export OPENAI_API_KEY="sk-..." # Windows: set OPENAI_API_KEY=...
# Seed the database (run once)
python seed.pyRun
python client.pyclient.py spawns server.py automatically — no separate terminal needed.
Try these queries
# Pure DB
What are our top 3 customers by total spend?
# DB + filter
Show all pending orders with customer names and product names.
# Cross-tool: DB to find a city, weather to check it
Who is our highest-spending customer and what's the weather like in their city right now?
# Write operation
Mark order 5 as shipped.
# Follow-up read
Show all orders for Carlos Mendes now.Database schema
customers (id, name, email, city, joined_at)
products (id, name, category, price)
orders (id, customer_id, product_id, quantity, status, ordered_at)10 customers across 10 cities worldwide · 10 products · 20 orders.
Key dependencies
Package | Purpose |
| Official Python MCP SDK (server + client) |
| GPT-4o via OpenAI API |
| HTTP calls to wttr.in weather API |
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