Artificial intelligence is transforming the Salesforce ecosystem faster than ever.
But have you ever wondered how these smart systems actually connect with data, apps, and workflows?

The answer lies in something new and something everyone in the Salesforce world will soon be thinking about: the Model Context Protocol.

What Is the Model Context Protocol?

The Model Context Protocol (MCP) is an open standard designed to make AI connections simple, secure, and consistent.
Think of it as the USB-C of AI: one universal connector that lets different AI systems speak the same language when interacting with data and tools.

In the context of Salesforce, the MCP allows AI models to securely access information from multiple systems without complex custom integrations.
It defines a clear, structured way for AI to find the right data, understand its context, and perform actions when needed.In short, MCP builds a standard bridge between AI and Salesforce data – helping automation become more intelligent and more connected.

Why the Model Context Protocol in Salesforce Matters

Salesforce has already started supporting the MCP within its new AI framework, Agentforce.
This means that intelligent agents inside Salesforce can now:

  • Retrieve data from Sales, Service, or Marketing Cloud
  • Connect to external apps and databases through a secure “interface bridge”
  • Trigger Salesforce automations like Flows, Approvals, or Apex actions

For Salesforce admins and AI enthusiasts, this is a big deal.
It’s not just about asking AI to summarize data anymore – soon, AI will be able to take action directly inside your org, based on real-time context.

How It Works (Without the Jargon)

Every MCP setup has two main parts:

  • the MCP client, which is the AI system asking for information (for example, Agentforce or another AI assistant), and
  • the MCP server, which provides access to the right data or actions.

When they connect, the client asks, “What resources or tools can I use?”
The server then replies with a list of available options – such as datasets, APIs, or commands.

From there, the AI can execute actions in Salesforce safely, without the need to hard-code every integration.
It’s all done through a standardized, secure framework, which makes development faster and governance easier.

Why Everyone’s Thinking About MCP

Even though MCP is still new, it’s already being called the future “glue” of AI integration.
Salesforce’s decision to adopt it shows a clear direction: a world where AI agents are open, interoperable, and context-aware.

For Salesforce professionals, learning about the MCP now is like getting an early look at how AI and CRM will merge over the next few years.
It’s the foundation for smarter, more connected workflows and the kind of automation that truly feels intelligent.

Built with Trust and Security in Mind

Security has always been part of Salesforce’s DNA, and the MCP follows the same principle.
It uses standard Salesforce authentication and permissions, meaning AI agents can only access what their user or app is allowed to.
No shortcuts, no open back doors – just governed, scalable access to data.

Looking Ahead

The MCP in Salesforce is still evolving, but its direction is clear.
In the near future, AI assistants will become real teammates – not just answering questions, but completing tasks, managing workflows, and learning from context.

This shift will redefine what efficiency means for Salesforce teams.
And those who understand MCP early will be ready for what’s coming next.

Final Thought

At Target Everest, we see the MCP as more than just another technical update.
It’s a symbol of connection, linking people, data, and intelligent systems in a smarter way.

MCP marks the beginning of a new chapter where AI and Salesforce work hand in hand, creating smarter, more connected business solutions.

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