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The Model Context Protocol (MCP) is an open protocol that lets AI applications connect to external tools and data through a consistent interface. The application—the host—uses MCP clients to communicate with MCP servers, which can offer tools, resources, and reusable prompts. MCP defines the messages exchanged and how they travel; it does not supply every connected service or guarantee what an AI model can do with one.

How does the Model Context Protocol work?

  1. An AI application acts as the host. An assistant or developer tool can coordinate connections to one or more MCP servers.
  2. The host connects through an MCP client. The client handles communication with a server using the protocol. A host may use separate client connections for different servers.
  3. Client and server initialize the connection. MCP includes lifecycle management and capability negotiation. Implementations must support the base protocol and lifecycle components; other components are optional, depending on what the application needs.
  4. The server makes capabilities available. It can expose tools, resources, prompts, or some combination of them. The client and host can discover and use the capabilities supported by that server.
  5. They exchange protocol messages over a transport. Messages follow JSON-RPC 2.0 semantics, while the transport establishes the connection and carries those messages.

This separates the application’s role from the service’s role: the host decides how to use connected capabilities, while a server supplies the capabilities it implements. Which actions are available depends on the particular server and integration.

What are MCP hosts, clients, servers, tools, resources, and prompts?

Term What it means
Host The AI application coordinating connections to MCP servers.
Client The protocol component the host uses to communicate with a server.
Server A program or service that exposes data or capabilities to a client.
Tool A callable operation offered by a server.
Resource Data or content that can supply context.
Prompt A reusable template for an interaction.

These names describe different parts of the connection, not interchangeable products. For example, an AI application can be the host, its MCP client can connect to a server, and that server can offer a tool to perform an operation or a resource containing relevant information.

What do MCP’s data and transport layers do?

Data layer: what the messages mean

The data layer defines the protocol messages and capabilities shared by client and server. According to the MCP Basic Protocol Overview, “All messages between MCP clients and servers MUST follow the JSON-RPC 2.0 specification.” JSON-RPC provides the message format and request-and-response semantics; it is not itself the connection method.

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Transport layer: how messages travel

The transport layer governs connection establishment and message exchange. STDIO and HTTP are distinct transport choices, not different names for the same mechanism. Their process and connection arrangements differ, so an implementation’s documentation matters when setting up or evaluating an integration. The MCP architecture guide describes the separation between protocol data and transport.

How do MCP authorization rules depend on transport?

Authorization details are not identical across all MCP deployments. In the 2025-11-25 protocol overview, implementations using HTTP are directed to conform to the specification’s authorization framework. STDIO implementations should not use that HTTP authorization framework; instead, they should obtain credentials from the environment. Check the protocol revision and the implementation’s instructions rather than assuming a single authentication setup applies everywhere.

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What changed in the July 28, 2026 MCP release?

The MCP project’s July 28, 2026 specification announcement lists a stateless protocol core, multi-round-trip requests, header-based routing, cacheable list results, authorization hardening, an extensions framework, and updated Tier 1 SDKs. These are features named for that release, not performance or adoption statistics. Because MCP is evolving, verify which specification revision and optional extensions both sides of a connection support.

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What can an MCP server provide—and what does MCP not guarantee?

A server can expose tools, resources, and prompts; the particular capabilities depend on its implementation. Some integrations also offer optional features beyond those core capability types. For example, OpenAI’s MCP server documentation describes an optional UI resource that clients supporting MCP Apps can display.

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MCP standardizes a way for an AI application to connect to external systems. It does not automatically provide the external system, make every server capability available to every host, or guarantee that a model will use a capability correctly. To assess a particular integration, check what it exposes, how it authorizes access, which transport it uses, and which protocol revision and extensions it supports.

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