Who created MCP and who supports it?

Anthropic introduced MCP as an open standard in November 2024. OpenAI announced adoption in March 2025, and support spread across major AI clients and developer tools through 2025, making it the de facto standard for AI-to-tool connections.

Why would a brand build an MCP server?

It puts your product's data and actions directly inside AI assistants. A booking platform's MCP server lets an agent check availability and reserve; a data company's server makes its datasets queryable in-chat. It is distribution: being callable is the agent-era equivalent of being installed.

What Is the Model Context Protocol (MCP)?

Last updated: July 5, 2026 · Menra Team

The Model Context Protocol (MCP) is an open standard that defines how AI models connect to external tools, data sources, and services. Introduced by Anthropic in November 2024 and adopted by OpenAI in March 2025, it plays the role for AI integrations that USB played for peripherals: one protocol, so every tool doesn't need a custom integration with every AI client.

What MCP standardizes

Before MCP, connecting an assistant to a database, a SaaS API, or a file system meant bespoke integration per vendor. MCP defines a common client-server pattern: an MCP server exposes capabilities — tools (actions the model can invoke), resources (data it can read), and prompts (reusable templates) — and any MCP client (Claude, ChatGPT, IDEs, agent frameworks) can discover and use them. Build one server, reach every compliant assistant.

Why marketers should watch the MCP ecosystem

MCP turns integration into distribution. When a user's assistant has your MCP server connected, your product becomes a first-class capability inside their AI conversations — your inventory queried directly, your actions executable mid-chat, your data cited from the source rather than from whatever a crawler indexed months ago. Early movers in categories like payments, project management, and data services shipped MCP servers through 2025 precisely to be the tool an agent reaches for in their category.

The visibility logic parallels GEO but moves one layer deeper. GEO competes to be retrieved and cited from the open web; MCP competes to be connected and invoked. Both reward machine-readable clarity — a well-documented MCP server with clean tool descriptions is to agents what structured data is to crawlers. And discoverability battles are already forming around MCP server directories and client marketplaces, a surface worth monitoring alongside classic answer-engine tracking.

Practical starting points

For most brands the sequence is: ensure your public API is solid, publish an MCP server wrapping your highest-value read actions, document it where developers and directories index it, and instrument usage. Being callable does not guarantee being called — but in agent-mediated workflows, not being callable guarantees being routed around.

Frequently asked questions

Who created MCP and who supports it?: Anthropic introduced MCP as an open standard in November 2024. OpenAI announced adoption in March 2025, and support spread across major AI clients and developer tools through 2025, making it the de facto standard for AI-to-tool connections.
Why would a brand build an MCP server?: It puts your product's data and actions directly inside AI assistants. A booking platform's MCP server lets an agent check availability and reserve; a data company's server makes its datasets queryable in-chat. It is distribution: being callable is the agent-era equivalent of being installed.

Keep exploring

See how AI engines talk about your brand — track mentions across ChatGPT, Perplexity, Claude, Gemini and 5 more. Start with Menra