Model Context Protocol is an open standard developed by Anthropic that defines how AI models connect to external tools, data sources, and services. Before MCP, every AI application required custom integration code for each tool the model needed to use: one integration for a database, another for a file system, another for a web browser. MCP standardizes this interface.
Any tool that implements the MCP server specification can be used by any MCP-compatible AI client without custom integration. MCP establishes a universal connector standard, decoupling tool implementation from specific model integrations to enable interoperable agentic ecosystems. This greatly reduces the engineering effort required to build agentic applications.
A developer building an AI assistant can add MCP-compatible tools without writing new integration code for each one. MCP is gaining adoption across the AI industry, with major development tools, databases, and services releasing MCP servers. It is becoming a foundational infrastructure layer for agentic AI systems.
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Model Context Protocol (MCP)
Interactive demo: See how MCP standardizes AI model connections to external tools
AI Models
External Tools
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Without MCP
- ❌ Custom code for each tool
- ❌ Model-specific integrations
- ❌ Duplicate development effort
- ❌ Hard to maintain