Model Context Protocol (MCP)
Name: Model Context Protocol – FastMCP Workshop
Category: AI Infrastructure, Developer Tooling, LLM Ecosystems
Type: Study Jam
Summary - oneliner: A 3-day deep-dive workshop into building and deploying tools using the Model Context Protocol (MCP) and FastMCP framework.
Purpose: To help participants understand, implement, and deploy MCP-compliant tools and servers to integrate with LLMs like Claude or Cursor.
Core Concepts Coverage:
What is MCP and why it matters ("USB-C for AI tools")
FastMCP server and client development
Resource passing and prompt-based tools
Integration with LLM environments like Cursor
Hosting, deployment, and security practices
How:
3-day workshop with lectures and hands-on labs
Build calculator tool with MCP protocol
Add prompts, clients, and secure endpoints
Integrate with Claude Desktop & Cursor
Explore deployment via Modal, ASGI, and OAuth flows
Expected Outcome:
Deep understanding of MCP & FastMCP
Working server & client tools
Experience with deployment & LLM integration
Ability to build streamable, secure AI tools
How to Measure Impact:
Completion of hands-on modules
Successful integration and testing of tools
Participation in Q&A, brainstorming, and final discussion
Documentation of tool and hosting workflow
Pre-event Checklist:
Install Python,
uv, FastMCPShare starter repos and lab instructions
Prepare test endpoints for integration
Provide Claude/Desktop access details
Post-event Checklist:
Document real-world use cases
Share tool gallery built by participants
Publish MCP learning notes and labs
Connect learners to MCP ecosystem and open tool registries
Curated by: Alosh
Ideal Audience: Tool developers, AI infra engineers, curious builders exploring agent-tool ecosystems.
Resource Links:
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