OpenAPI plugins. ChatGPT Actions. function calling. Tool use. Anthropic’s MCP. Every major AI platform tried to define the integration standard for the agentic era. By 2026 the dust has settled and one of them is winning. I’m betting hard on MCP, and so should anyone shipping AI products in 2026.

What MCP gets right

Model Context Protocol is open, model-agnostic, transport-agnostic, and intentionally simple. It exposes three primitives — tools, resources, prompts — over a single protocol that any AI client can speak. No vendor lock-in. No proprietary schema. The spec is openly evolving.

What its competitors got wrong

  • OpenAPI plugins — solved the wrong problem. Plugins were app-store-shaped; MCP is interface-shaped. Different abstraction.
  • ChatGPT Actions — single-vendor, complex, walled garden. Closed standards lose.
  • Function calling — primitive, not a protocol. Useful as a building block, doesn’t address discovery, authentication, resource exposure.

What MCP unlocks

Three things change when MCP becomes default:

  1. Service discoverability — any AI client can browse a directory of MCP servers and use them with no per-vendor integration work
  2. Vendor neutrality — building an MCP server once means Claude, GPT, Gemini and open-source agents can all use it
  3. The agentic web — when agents replace browsers, MCP servers become the surfaces they navigate

The Anthropic-vs-OpenAI dynamic

OpenAI’s late-2025 adoption of MCP-compatible patterns was the moment it became inevitable. Anthropic shipped the standard; OpenAI added support; Google followed. When all three frontier vendors converge on a protocol, that protocol wins.

The Saudi opportunity

I’ve already written about why every Saudi founder should be MCP-fluent. The MCP server registry is sparse for MENA platforms; whoever ships the canonical servers for Salla, Foodics, Mrsool and Saudi government APIs owns those integration surfaces for a decade.

What MCP doesn’t solve

Authentication is still messy. Long-running operations are still half-baked. Streaming is improving but not perfect. The protocol will evolve through 2026–2028. Bet on the standard, not on the current spec.

The practical advice

Three actions for any company building AI products in 2026:

  1. Ship MCP servers for your major APIs alongside REST
  2. Treat MCP server quality as a product surface — discoverable, well-documented, auth-secured
  3. Use MCP internally for your own AI integrations; eat your own dog food

The principle

The AI integration layer of the next decade is settling on MCP. Companies that build MCP-native ship faster, integrate with more clients, and get cited more often by AI search. The standard isn’t optional; it’s the new HTTP of the AI era.

Building MCP-first? Compare notes with me.