What is Model Context Protocol?

Model Context Protocol

Definition An open standard developed by Anthropic that defines a universal interface for connecting AI models to external tools, data sources, and services. MCP replaces ad-hoc integrations with a consistent protocol any model or application can implement.

In Depth

MCP follows a client-server architecture: MCP servers expose resources and tools; MCP clients (AI applications and IDEs) connect to those servers and make them available to the model. This creates a composable ecosystem where a single MCP server for a database, API, or file system can be used by any compatible AI assistant. MCP is gaining broad adoption across developer tools, enterprise software, and AI agent frameworks.

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AI Agent AI Alignment Agentic AI Artificial General Intelligence Artificial Superintelligence Attention Mechanism AutoML Benchmark Bias (AI) Chain-of-Thought Computer Vision Deepfake Diffusion Model Edge AI Embedding Federated Learning Few-Shot Learning Fine-Tuning Function Calling GPT