MCP
What does it stand for? Model Context Protocol
Pronunciation: /ˌem siː piː/
An open protocol that lets AI models connect to external tools, data sources, and services.
Plain English Explanation
The Model Context Protocol (MCP) is a standardised way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every tool, developers can use MCP to give AI models structured access to databases, APIs, file systems, and other services.\n\nMCP acts as a universal adapter between AI models and the outside world.
Analogy
MCP is like USB-C for AI — one standard port that lets any AI model plug into any tool or data source, instead of needing a different custom connector for each combination.
How is it used?
MCP is used by AI coding assistants, agent frameworks, and enterprise AI platforms to provide models with real-time access to documentation, databases, project files, and third-party services.
Real-world Example
An AI coding assistant using MCP can query your database schema, read files from your repository, and interact with your project management tool — all through standardised protocol connections.
Common Misconceptions
MCP is relatively new and adoption is still growing. It is a protocol, not a product — the quality of integrations depends on individual MCP server implementations.
History
MCP was introduced by Anthropic in late 2024 as an open standard for AI-tool connectivity.
Related Terms
See Also
Also known as: Model Context Protocol