What is MCP? The plain-English guide to connecting AI to your tools.

If you've heard that AI can now access your Salesforce data, create Jira tickets, or pull reports from Google Sheets, MCP is how that happens.

The problem MCP solves

Before MCP, connecting an AI assistant to an external tool required custom engineering work, a bespoke integration built specifically for that combination of AI and app. For a company with ten apps and two AI tools, that meant potentially twenty separate integrations to build and maintain. MCP solves this with a single universal standard. One protocol. Any AI. Any compatible app. No custom code required for each connection.

What MCP actually is

MCP stands for Model Context Protocol. It's an open standard developed by Anthropic and released in November 2024. Think of it as the USB-C port of AI: a universal connector that lets your AI assistant communicate with any compatible tool or service. MCP defines how an AI model (like Claude or ChatGPT) talks to an external server that provides tools, including how those tools describe what they can do, what inputs they accept, and what they return. The AI reads that description and decides which tool to call and when.

What this means in practice

Before MCP, if you wanted your AI to look up a Salesforce record, someone had to build custom code that translated your request into a Salesforce API call and handed the result back to the AI. With MCP, a Salesforce MCP server already exists. The AI connects to it, reads its list of available tools, and calls whichever tool fits your request, automatically. The result: describe what you want in plain language, and your AI does it across multiple apps without writing a line of code or opening a second tab.

Who created MCP?

MCP was created by Anthropic, the AI safety company behind Claude, and published as an open standard in November 2024. Since then, it has been adopted by OpenAI (ChatGPT), Google DeepMind (Gemini), and virtually every major AI coding tool. It is rapidly becoming the universal standard for AI-to-app connectivity.

How Venn.ai uses MCP

Venn.ai is built on MCP. We provide a universal MCP endpoint that connects AI tools like Claude, ChatGPT, and Cursor to dozens of business apps, Salesforce, Jira, Gmail, Google Workspace, Slack, Notion, and more, with the permissions and guardrails your team needs to use AI safely at work. You don't need to set up MCP servers yourself or understand the technical details. Venn.ai handles the connection layer so you can focus on getting work done.

FAQ

Q: Is MCP safe to use?

A: MCP itself is a communication protocol, like HTTP for the web. Whether it's safe depends on how permissions are implemented by the platform using it. Venn.ai builds security and access controls directly into every MCP integration, so AI tools only access what you've explicitly permitted.

Q: Does MCP work with ChatGPT and Claude?

A: Yes. Both ChatGPT and Claude support MCP. Venn.ai works with both, as well as Cursor and VS Code. You connect Venn.ai to your existing AI tool, no new app to learn.

Q: Do I need to be technical to use MCP?

A: No, not through Venn.ai. We've built a consumer-friendly layer on top of MCP so that anyone can connect their AI to their business apps in minutes, without touching configuration files or writing code.