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A practice project demonstrating how to build Model Context Protocol servers with Python, LangGraph, and Groq, featuring a math server via stdio and a weather server via streamable-http, enabling arithmetic operations and mock weather queries through an AI agent.
Install MCP Server Practice
For anyone using MCP Server Practice — no Lulu account needed# stdio server — install per the repository README: https://github.com/shreenithi23/mcp-server-practice
Real-time weather for any city, built on the lulu-ads widget gallery. First-party, free forever.
View server →FAQ
MCP Server Practice installs from source — follow the repository README.
3 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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Works well together
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This is for the person who owns MCP Server Practice — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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