webmachinelearning/webmcp: 🤖 WebMCP
🤖 WebMCP. Contribute to webmachinelearning/webmcp development by creating an account on GitHub.
AI Development Course
Summary
This short course teaches developers how to use the Model Context Protocol (MCP) to standardize access to tools, data, and prompts for AI applications. Participants will learn to build and deploy MCP servers and create MCP-compatible chatbots that connect to external systems like GitHub and Google Docs.
Highlights
- Learn to standardize AI integrations using Anthropic's open Model Context Protocol (MCP).
- Build and deploy an MCP server using FastMCP to expose tools, resources, and prompts.
- Transform a chatbot into an MCP-compatible application with dynamic client connections.
- Understand the client-server architecture and communication mechanisms of MCP.
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Context
Audience
AI Developers
DomainArtificial Intelligence
Formatvideo tutorial
Accessfree online
Source Overview
Build AI apps that access tools, data, and prompts using the Model Context Protocol.
Topics
Related
Model Context ProtocolAnthropicClaude DesktopFastMCPLLM Integrations
