What is Model Context Protocol (MCP)?

An open standard developed to standardize how AI models securely connect to enterprise data sources, development environments, and external tools without proprietary custom integrations.

Key facts

Introduced as an open-source standard by Anthropic in late 2024 and adopted industry-wide.
Eliminates fragmented, one-off API connectors between IDEs, databases, and LLMs.
Operates client-server architecture over JSON-RPC (stdio and SSE transports).
Supported natively by leading developer tools including Claude Desktop and Cursor.

Explanation

Prior to MCP, every AI development environment had to write bespoke plugins to inspect Postgres databases, fetch Slack messages, or manipulate local Git repositories. MCP provides a universal interface where host applications discover capabilities and expose secure context to models uniformly.

As developer tools standardize on MCP, enterprises can publish one MCP server that instantly empowers any compliant AI assistant or agent.