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Devii · AI & ML · 2026-06-28 · 8 min read

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Model Context Protocol: How AI Tools Connect To Data And Services

Anthropic published MCP as an open standard for tool and context integration; here is what the protocol defines and where it fits in production stacks.

The **Model Context Protocol (MCP)** is an open specification for connecting AI applications to external **context sources** and **tools** through a client-server model. Anthropic released MCP in late 2024 and maintains specification docs at `modelcontextprotocol.io`. Implementations exist in multiple languages; the goal is interchangeable connectors instead of one-off integrations per product.

An MCP **server** exposes resources (files, database rows, API responses) and callable **tools** with typed inputs. An MCP **client** (often embedded in an IDE or agent runtime) discovers capabilities and invokes them over stdio, HTTP, or other transports defined in the spec.

Engineering team reviewing integrations
Engineering team reviewing integrations

MCP does not replace your authorization model. Servers must enforce the same access controls they would expose to any API caller. Treat MCP connectors like microservices: audit inputs, log actions, and version schemas.

In 2026, MCP appears in developer tooling ecosystems alongside traditional REST and SDK plugins. Read the current spec revision before building servers; transports and capability negotiation evolve with community proposals.