Guide · March 2026
What is MCP (Model Context Protocol)?
MCP is like USB for AI. One standard protocol that lets any AI assistant connect to any tool. Created by Anthropic, adopted by the industry. Here's what it means for you.
The USB analogy
Before USB, every device had its own cable. Your printer used one type, your keyboard another, your camera a third. It was a mess.
USB fixed that. One standard port, every device. Plug anything in and it works.
MCP does the same thing for AI. Before MCP, connecting an AI assistant to a business tool (like Gmail, your CRM, or a booking platform) required custom code for every combination. Claude + Gmail needed different code than ChatGPT + Gmail. Multiply that by every tool and every AI, and you get a mess.
MCP is one standard. Build an MCP server for Gmail once, and it works with Claude, ChatGPT, Cursor, Perplexity — any AI that speaks MCP.
How MCP works (without the jargon)
MCP has three parts:
MCP Server (the bridge)
A server that knows how to talk to a specific tool. For example, a Gmail MCP server knows how to read emails, send replies, and manage labels. It translates between the tool's API and the MCP standard.
MCP Client (the AI)
The AI assistant (Claude, ChatGPT, etc.) that connects to the MCP server. It discovers what tools are available and uses them when you ask it to do something.
Tools (the actions)
Each MCP server exposes a list of tools — specific actions the AI can take. "Send an email," "read a spreadsheet," "book a client." The AI picks the right tool based on what you ask.
Who created MCP?
Anthropic (the company behind Claude) created and open-sourced MCP in late 2024. The goal was to prevent fragmentation — instead of every AI company building proprietary integrations, there's one open standard everyone can use.
It worked. Within months, MCP was adopted by major AI platforms, development tools like Cursor and Windsurf, and hundreds of open-source projects. It's becoming the default way AI connects to external tools.
Who uses MCP?
AI Platforms
Claude, ChatGPT, Perplexity support MCP connections
Developer Tools
Cursor, Windsurf, VS Code use MCP for code tools
Businesses
Companies connect AI to their CRM, email, databases
Tool Builders
SaaS companies build MCP servers for their APIs
Why MCP matters for your business
Without MCP, connecting AI to your tools means either: (a) using whatever limited integrations your AI platform offers, or (b) hiring a developer to build custom connections. Both options are limited and expensive.
With MCP, you connect once and it works everywhere. Switch from Claude to ChatGPT? Your tool connections still work. Add a new AI assistant? It immediately has access to all your connected tools.
It also means no vendor lock-in. Your integrations aren't tied to one AI company's ecosystem. MCP is an open standard — like email or HTTP. No single company controls it.
MCP in action: Bellink
Bellink is an MCP server that connects AI to 25+ business tools — Gmail, Google Sheets, Google Calendar, Mindbody, Airtable, Notion, Meta Ads, and more.
Instead of building separate integrations for each AI platform, Bellink built one MCP server. You sign up, connect your tools, and get a single URL. Add that URL to Claude, ChatGPT, or any MCP-compatible AI — and your assistant can read your emails, update your spreadsheets, book clients, and pull reports.
That's the power of a standard. One connection, every AI platform, all your tools.
Is MCP secure?
MCP itself is a protocol — like HTTP. Security depends on the implementation. Good MCP servers (like Bellink) use OAuth 2.0 for authentication, encrypt credentials, and never store your passwords. Your data stays in your tools — the MCP server reads and acts on it but doesn't copy or store it.
The open-source nature of MCP actually helps security — the protocol is publicly auditable, and the community catches issues fast.
See MCP in action
Bellink is an MCP server for 25+ business tools. Connect once, use with any AI. Try it free.
Try Bellink free