MCP Protocol (Model Context Protocol)

What is MCP Protocol

MCP (Model Context Protocol) is an open standard created by Anthropic that defines how AI agents connect to external tools, data sources, and services. It functions as a universal protocol enabling interoperability between different AI tools and providers. Analogous to how HTTP standardized web communication, MCP aims to standardize communication between language models and the outside world.

How it works

MCP establishes a client-server architecture. The AI agent acts as an MCP client and connects to MCP servers that expose tools and resources. Each server declares its capabilities through a standardized schema: what tools it offers, what parameters it accepts, and what data types it returns. When the agent needs a tool, it sends a request to the corresponding MCP server, receives the response in a predictable format, and integrates it into its reasoning flow. A single agent can connect to multiple MCP servers simultaneously.

Why it matters

Before MCP, each AI tool implemented its own integrations in a proprietary manner. This created fragmentation and forced developers to write specific connectors for each combination of model and tool. MCP eliminates this complexity by offering a single protocol that any provider can implement. For businesses, this means they can switch models or tools without rewriting integrations, reducing vendor lock-in and accelerating deployment timelines.

Practical example

A company configures a Claude-based agent with three MCP servers: one connected to its PostgreSQL database, another to its GitHub repository, and a third to its Jira ticketing system. When a user asks about a project’s status, the agent automatically queries all three systems through MCP, correlates the information, and generates a consolidated report without ad hoc integrations.

Related terms

• Tool Use - LLM capability to use external tools
• Function Calling - Function invocation mechanism in LLMs
• Claude Code - Anthropic’s tool that uses MCP natively

Last updated: February 2026 Category: Artificial Intelligence Related to: Tool Use, Function Calling, Claude Code, AI Agents Keywords: mcp, model context protocol, anthropic, ai tools, tool integration, interoperability, open standard