MCP is Anthropic's answer to a problem every AI company had: connecting a model to your tools meant custom code for every single pairing. Here's what it actually is, minus the jargon.
Who built it, and how fast it spread
Anthropic launched MCP on November 25, 2024, open-source, with Block and Apollo as early adopters. Block's CTO Dhanji R. Prasanna called it a bridge that connects AI to real-world applications. Dev tools followed fast: Zed, Replit, Codeium, and Sourcegraph.
The bigger signal came from a competitor: OpenAI adopted MCP across ChatGPT, its Agents SDK, and its Responses API. Its developer docs put it plainly: MCP is becoming the industry standard for extending AI models. On October 6, 2025, OpenAI built its entire "Apps in ChatGPT" ecosystem on top of MCP, with Canva, Figma, and Spotify as launch partners.
MCP has since moved to open, Linux-Foundation-style governance; it's no longer Anthropic's private project. Adoption keeps spreading: X shipped its own MCP server in June 2026, and Zapier's MCP bridge alone reports more than 195,000 user-created connections and 4.6 million AI-driven tool calls.
What MCP is not
MCP standardizes the connection, not the AI's judgment. An MCP-connected AI can reach your CRM; whether it does something useful and safe with that access is a separate, harder problem. Adoption isn't the finish line; it's the plumbing that makes the trust-and-safety work more urgent, not less.
Why this matters if you're not a developer
- It's why "ask your AI assistant to do it" is starting to work across tools, not just inside one app's chat box.
- It's why more everyday tools (design, CRM, docs, e-commerce, social) now ship an official MCP server, with new ones every few months.
- It's the same standard behind Postey's own MCP server, which lets you tell Claude or ChatGPT to draft, schedule, and publish a post across platforms without opening the Postey app.
MCP is less than two years old and already runs under open governance, adopted even by Anthropic's competitors. It's no longer a niche developer standard; it's how AI assistants are reaching the rest of your software. If you want to see it work on a real scheduling workflow, Postey's MCP server is exactly that.
The analogy
Think of MCP as a USB-C port for AI apps: one standard plug to connect them to outside tools and data. That analogy comes from modelcontextprotocol.io, the protocol's own docs, and it holds up. MCP doesn't make an AI better at anything on its own. It just means any MCP-compatible app can talk to any MCP-compatible tool the same way, instead of everyone building one-off bridges.
FAQ
What does MCP stand for? Model Context Protocol, an open standard, created by Anthropic and launched November 25, 2024, that lets AI applications connect to external tools and data through one consistent interface instead of custom-built integrations for every pairing.
Is MCP only for Claude? No. OpenAI adopted MCP across ChatGPT, its Agents SDK, and Responses API, and built its 'Apps in ChatGPT' ecosystem on it in October 2025. MCP is now under open, Linux-Foundation-style governance, not run solely by Anthropic.
Do I need to know how to code to use MCP? No, as an end user, you typically just authorize a connection (similar to an app login) inside an AI assistant like Claude or ChatGPT. The protocol's complexity is handled by the tool builders; you just get the AI talking to your other apps.
What can an MCP-connected AI actually do? It depends on what the connected tool's MCP server exposes: examples already shipping include reading your calendar and Notion, generating code from a Figma design, querying multiple databases in plain English, and, in Postey's case, drafting and scheduling social posts across platforms from a chat.
