Fri-DIYs: MCP, anyone?
Get ready to roll up your sleeves and dive into Fri-DIYs, Lorong AI's immersive workshop series where participants gain hands-on experience implementing AI technologies through guided experimentation in an intimate, collaborative learning environment. (Lorong AI members will be prioritized for the session)
S1E5: MCP, anyone?
Get ready to roll up your sleeves for this hands-on MCP workshop! In this practical session, you'll learn how to build and implement a Model Context Protocol (MCP) server - the foundation for creating structured, reliable AI tool interactions.
In this workshop, you will:
Understand the structure of a tool server that follows the MCP format
Learn how to receive a tool request and return a valid response
Build and run a minimal MCP server in one of three languages: Python, TypeScript, or Go
Be able to test the interaction locally using a simple curl command or HTTP client
Learn how to implement a very simple tool server to accept a tool_use request, return a valid tool_response and be implemented in a fully working MCP-compatible server in Python using mcp-server, TypeScript using @microsoft/MCP and Go using mcp-go.
Some Prerequisites🤓
Make sure your machine has at least one of the following: Python 3.x + pip or Node.js + npm or Go 1.20+! Any basic HTTP client (like curl or Postman) will also help for testing.
Workshop Breakdown:
Understanding MCP (20min)
Core concepts and message types
Tool definitions and schemas
System architecture and roles
Hands-on Development (30min)
Setting up your development environment
Implementing an MCP-compatible server
Building and testing your first tool
Testing & Integration (10min)
Testing with HTTP clients
Debugging common issues
Best practices for tool development
By the end of this hour, you'll have built a working MCP server that can interact with AI models in a standardized way. Perfect for backend developers looking to integrate AI tools into their systems!
Find a more thorough breakdown here.
Note: Setup and registration starts from 1.30pm, with the workshop beginning at 2pm.
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👨💻Led by Graham Lim and Gérald Chablowski (Automancers)
Graham Lim (Founder & CEO, Automancers) brings a unique blend of expertise spanning law, executive recruitment, and technology. A Monash University law graduate turned tech leader, Graham transitioned from executive recruitment at Hudson to data science and software engineering. At G-P, he spent 4.5 years helping businesses scale internationally before founding Automancers to build cutting-edge AI solutions.
Gérald Chablowski (Co-Founder & CTO, Automancers) has spent 16 years architecting software solutions across four continents. A seasoned technical leader, he has guided engineering teams in fintech and insurtech startups, launched VC-backed ventures, and participated in the Antler accelerator. At Automancers, he leads technical strategy and LLM implementations while teaching on Coursera to make AI development accessible.
Don’t miss out! Limited slots available!