MCPilled.com
Take the MCPill and find out what's happening in the world of the Model Context Protocol (MCP)
Created by Alex Volkov, AI Evangelist with Weights & Biases.
Model Context Protocol (MCP) Overview
Your Guide to the Model Context Protocol
Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI assistants connect to external data sources and tools in a unified way. Think of MCP like a "USB-C port for AI applications" – instead of custom integrations for every data source, MCP provides one standardized interface.
Why Use MCP?
Standardized Integration
Connect AI models to any data source or tool using one unified protocol, eliminating the need for custom integrations.
Ecosystem of Connectors
Leverage a growing library of reusable MCP servers for common services like GitHub, Google Drive, databases, and more.
Model Flexibility
Swap AI models without losing data connections. MCP works with any AI system that implements the protocol.
Better AI Responses
Give AI assistants access to up-to-date, relevant information from your systems to provide more accurate and helpful responses.
Security & Control
Keep data access controlled within your infrastructure. MCP servers enforce permissions and access controls.
Open Standard
MCP is an open standard, encouraging community contributions and ensuring compatibility across the AI ecosystem.
Getting Started with MCP
1. Learn the Basics
Start by understanding what MCP is and how it works. Check out the glossary for key terms and concepts.
2. Explore Examples
Browse through example MCP servers to see how MCP can be used in different scenarios.
3. Build Your First MCP Server
Follow the quickstart guide to create your first MCP server and connect it to an AI assistant.