Jenniferjiang0511 Mit Ai Studio Hw3
Wire a Smithery-hosted demo MCP into Claude Code or Cursor so your agent can greet users by name and pull U.S. local forecasts and weather alerts while you learn MCP patterns.
Overview
ai.smithery/jenniferjiang0511-mit-ai-studio-hw3 is a MCP server for the Build phase that lets coding agents greet users by name and query U.S. local weather forecasts and alerts over Smithery’s remote HTTP transport.
What is this MCP server?
- Personalized name-based greetings exposed as MCP tools for agent-driven UX demos
- U.S. local weather forecasts and active weather alerts via remote Smithery transport
- Streamable-http remote at server.smithery.ai with Bearer Smithery API key auth
- Play mode switch for interactive agent workflows beyond static forecast reads
- MIT AI Studio HW3 reference implementation on GitHub for studying MCP server.json layout
- Server schema version 2025-09-16; package version 1.15.0
- 1 streamable-http remote URL on Smithery
- Repository: github.com/jenniferjiang0511/MIT-AI-studio-HW3
What problem does it solve?
New MCP adopters struggle to find a tiny, authenticated remote server that returns understandable weather and greeting tools without maintaining their own infra.
Who is it for?
Solo builders completing MCP homework or smoke-testing Claude Code/Cursor MCP config with a Bearer-authenticated Smithery endpoint.
Skip if: Teams needing production weather APIs, non-U.S. coverage, or deep operational monitoring—use a dedicated weather provider MCP instead.
What do I get? / Deliverables
After you register the Smithery remote and API key, your agent can call greeting and U.S. weather tools so you can confirm end-to-end MCP integration in your editor.
- Working remote MCP registration with authenticated tool calls
- Agent-accessible U.S. forecast and weather-alert responses
- Personalized greeting tool output for integration testing
Recommended MCP Servers
Journey fit
Tutorial and homework-style MCP servers belong on the Build shelf because solo builders install them while connecting agents to external tool protocols, not while doing market research or launch SEO. Integrations is the canonical subphase for registering remote streamable-http MCP endpoints and exercising tool calls against third-party capabilities like weather APIs.
How it compares
Smithery-hosted MCP integration for learning and demos, not a journey-wide agent skill or a full weather SaaS backend.
Common Questions / FAQ
Who is ai.smithery/jenniferjiang0511-mit-ai-studio-hw3 for?
It is for developers and students wiring their first agent to a remote MCP, especially anyone following MIT AI Studio-style exercises who wants greetings plus U.S. forecast and alert tools.
When should I use ai.smithery/jenniferjiang0511-mit-ai-studio-hw3?
Use it during Build when you need to validate Smithery auth, streamable-http remotes, and tool calling before you connect business-critical APIs.
How do I add ai.smithery/jenniferjiang0511-mit-ai-studio-hw3 to my agent?
Create a Smithery API key, add the remote URL https://server.smithery.ai/@jenniferjiang0511/mit-ai-studio-hw3/mcp to your MCP client config, and set Authorization to Bearer {smithery_api_key} per server.schema.json.