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ai.smithery/jenniferjiang0511-mit-ai-studio-hw3

Official registry Maps, travel and weather

Greet people by name and check local forecasts and weather alerts across the U.S. Switch to a play…

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http jenniferjiang0511-mit-ai-studio-hw3 'https://server.smithery.ai/@jenniferjiang0511/mit-ai-studio-hw3/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "jenniferjiang0511-mit-ai-studio-hw3": {
            "type": "http",
            "url": "https://server.smithery.ai/@jenniferjiang0511/mit-ai-studio-hw3/mcp",
            "headers": {
                "Authorization": "<Bearer token for Smithery authentication>"
            }
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. weather-app
  2. Functions of the tools that are being connected
  3. Prerequisites
  4. Getting Started with running the server
  5. Development of the server
  6. Deploying the server

weather-app

An MCP server built with Smithery CLI

Functions of the tools that are being connected

This weather app has two functions: get alert and get forecast. Get alert gets any weather alert within the U.S. state, and get forecast gets the weather forecast for that location.

To make things more interesting, if you ask the it to speak in a pirate like tone, it can answer your requests with such a tone.

Prerequisites

Getting Started with running the server

  1. Run the server:
     uv run dev
  2. Test interactively:
     uv run playground

Try saying "Say hello to John" to test the example tool.

Development of the server

Your server code is in src/hello_server/server.py. Add or update your server capabilities there.

Deploying the server

Ready to deploy? Push your code to GitHub and deploy to Smithery:

  1. Create a new repository at github.com/new
  2. Initialize git and push to GitHub:
     git add .
 git commit -m "Hello world 👋"
 git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPO.git
 git push -u origin main
  3. Deploy your server to Smithery at smithery.ai/new

Frequently asked questions

What is ai.smithery/jenniferjiang0511-mit-ai-studio-hw3?

Greet people by name and check local forecasts and weather alerts across the U.S. Switch to a play…

How do I install ai.smithery/jenniferjiang0511-mit-ai-studio-hw3?

It runs as a remote server. In Claude Code: claude mcp add --transport http jenniferjiang0511-mit-ai-studio-hw3 'https://server.smithery.ai/@jenniferjiang0511/mit-ai-studio-hw3/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ai.smithery/jenniferjiang0511-mit-ai-studio-hw3 need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is ai.smithery/jenniferjiang0511-mit-ai-studio-hw3 open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains ai.smithery/jenniferjiang0511-mit-ai-studio-hw3?

It is published by jenniferjiang0511. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.