
Azure Container Apps Weather MCP Server
A server-sent events (SSE) MCP server that runs on Azure Container Apps with API key authentication, likely providing weather-related functionality based on the configuration.
README
Azure Container Apps remote MCP server example
This MCP server uses SSE transport and is authenticated with an API key.
Running locally
Prerequisites:
- Python 3.11 or later
- uv
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.py
VS Code MCP configuration (mcp.json):
{
"inputs": [
{
"type": "promptString",
"id": "weather-api-key",
"description": "Weather API Key",
"password": true
}
],
"servers": {
"weather-sse": {
"type": "sse",
"url": "http://localhost:8000/sse",
"headers": {
"x-api-key": "${input:weather-api-key}"
}
}
}
}
Deploy to Azure Container Apps
az containerapp up -g <RESOURCE_GROUP_NAME> -n weather-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.
If the deployment fails, try again after updating the CLI and the Azure Container Apps extension:
az upgrade
az extension add -n containerapp --upgrade
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.