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The Model Context Protocol (MCP) is an open software protocol that lets AI applications communicate with servers providing tools, contextual data, and reusable prompts. It is sometimes described as a USB port for AI agents because one shared interface can connect an AI application to many integrations. But MCP is not a physical connector, and compatibility or security is not automatic.
What does MCP stand for?
MCP stands for Model Context Protocol. It defines a common way for an AI application—called a host in the protocol architecture—to communicate with MCP servers that expose capabilities. MCP is not an AI model, and it does not itself provide the services or data those servers offer.
Why is MCP compared with USB?
The comparison captures the idea of a shared integration interface. Instead of requiring a separate, entirely different connection method for every service, an AI application can use MCP to communicate with multiple MCP servers.
The analogy has limits. USB is a physical interface; MCP is software. Each client and server still needs compatible protocol versions, transports, and capabilities. A shared protocol does not ensure plug-and-play behavior, identical features, or a trustworthy server.
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How does MCP work?
The official architecture separates MCP into a data layer and a transport layer. Together they define what clients and servers exchange and how the communication is carried.
Data layer: messages and capabilities
The data layer uses JSON-RPC-based client-server messages. It includes version and capability discovery, along with primitives such as tools, resources, prompts, and notifications. Clients and servers can advertise supported versions and capabilities; implementations do not necessarily support every optional feature.
Transport layer: communication and authorization
The transport layer handles how messages travel, including framing and connection behavior, as well as transport-specific authorization. The architecture documentation describes these layers and their roles at MCP architecture.
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What servers can provide
- Tools: Actions or information requests a model can ask a server to perform, such as querying a database.
- Resources: Contextual data a client can make available, such as a database schema.
- Prompts: Reusable templates, such as examples for working with a server’s tools.
In the official architecture’s database example, a server can expose a query tool, a schema resource, and a prompt with examples for using those tools. A client can discover available capabilities, list tools, and call a selected tool.
What changed in MCP revision 2026-07-28?
The MCP maintainers announced revision 2026-07-28 on July 28, 2026. They describe its central change as a stateless request/response core. The release also lists self-describing requests and optional discovery, HTTP header-based method and tool routing, Multi Round-Trip Requests for flows such as sampling and elicitation, cache hints, deterministic list ordering, a formal extensions framework, authorization hardening, and a minimum twelve-month deprecation window. Details appear in the official release announcement.
These are revision-specific changes, not features to assume in every deployed client or server. Check the versions and feature support of both ends before planning an upgrade. The 2025-11-25 specification overview describes an earlier revision.
Is MCP secure?
MCP is not simply secure or insecure in isolation. The official specification provides authorization guidance for HTTP implementations, but practical security also depends on the client, server, transport, credentials, exposed tools, and deployment. Protocol support alone is not a security guarantee.
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Practical safeguards
- Review what each server can access and what actions its tools can perform.
- Use scoped, per-user credentials rather than granting broader access than a task requires.
- Treat external content and tools as potentially untrusted; consider provenance tracking and input/output checks.
- Isolate execution where appropriate, enforce policies, and audit actions. Monitoring for anomalous behavior and centralized governance can also help.
These controls reduce exposure; they do not guarantee that an integration is safe.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should you check when evaluating an MCP implementation?
Compatibility and security depend on the named client and server, not just on the protocol label. Check their documentation for the details that affect your use case:
- Supported protocol revision and feature coverage.
- Supported transports and authentication or authorization approach.
- Which tools, resources, and prompts the server actually exposes.
- Whether deployment is local or remote, and how credentials and data are handled.
- Operational controls such as version management, sandboxing, policy enforcement, and auditability.
What the 2026 roadmap says about MCP’s direction
The official roadmap dated August 22, 2026 describes work on governance, authorization, and enterprise readiness. It lists a contributor ladder, working groups, a feature lifecycle and deprecation policy, issuer validation, Client ID Metadata Documents as a preferred registration path, and Enterprise-Managed Authorization as a stable extension. The roadmap also identifies agent identity and delegated authority as continuing areas of work; see the MCP roadmap.
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