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., "@Stock Assistant MCP Server What's the current price of AAPL?"
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.
This project implements a simple Model Context Protocol (MCP) server that provides real-time stock data, historical analysis, and stock comparisons using the Yahoo Finance API.
This MCP server uses SSE transport and is authenticated with an API key.
Prerequisites:
Python 3.13 or later
Run the server locally:
uv venv
uv sync
# linux/macOS
export API_KEYS=<AN_API_KEY>
# windows
set API_KEYS=<AN_API_KEY>
uv run fastapi dev main.pyVS Code MCP configuration (mcp.json):
{
"inputs": [
{
"type": "promptString",
"id": "my-api-key",
"description": "Stock Assistant API Key",
"password": true
}
],
"servers": {
"stock-mcp-sse": {
"type": "sse",
"url": "http://localhost:8000/sse",
"headers": {
"x-api-key": "${input:my-api-key}"
}
}
}
}Related MCP server: Yahoo Finance MCP Server
az containerapp up -g <RESOURCE_GROUP_NAME> -n stock-mcp --environment mcp -l westus --env-vars API_KEYS=<AN_API_KEY> --source .If the deployment is successful, the Azure CLI returns the URL of the app. You can use this URL to connect to the server from Visual Studio Code.
This server cannot be deployed
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