MCPs: the modular standard that allows AI agents to execute real processes

In the last two years, the conversation around artificial intelligence has focused on models: their size, their reasoning capabilities, their speed, and their “human-like performance.”

But there is a fundamental element that is rarely discussed, even though it determines whether an AI agent can or cannot do something in the real world:

MCPs.

Modular Conversational Protocols are the component that enables artificial intelligence to stop being a system that responds… and become a system that acts.

They are the difference between AI that converses and AI that executes complete processes.

This blog explains what they are, why they matter, and how they are transforming the way businesses operate, integrate, and scale technology.

The problem MCPs solve

Language models (LLMs) are intelligent, but they live inside a box:

• they cannot access databases directly

• they cannot execute actions in external systems

• they cannot initiate processes in ERPs, CRMs, or payment platforms on their own

In other words: they understand, but they do not act.

Businesses need the opposite: agents that make decisions and execute tasks in daily operations.

That is where MCPs come in: a modular layer that allows a conversational agent to connect with real systems, obtain information, transform it, and execute concrete actions.

The USB-C analogy: how to standardize chaos

Before USB C, every device had its own cable.

• Phones with micro USB

• Cameras with mini USB

• Laptops with proprietary chargers

• Accessories with unique connectors

  
  

It was a mess: hundreds of incompatible connectors.

USB-C solved the problem by creating a universal standard compatible with thousands of devices, regardless of manufacturer.

MCPs do exactly the same for AI.

Before MCPs: each integration between AI and an external system was a unique, expensive, fragile, and inconsistent connection (the infamous N×M problem).

With MCPs: there is a standard that any agent can understand, and any business can use to convert its processes, data, and products into reusable conversational modules.

An MCP is, in essence, the USB C of the conversational world.

What exactly is an MCP

An MCP is a module that encapsulates a function, a process, or a business product and makes it accessible in natural language to any AI agent.

An MCP can represent:

• processing a paymentissuing an invoice

• validating an identity

• creating an order

• checking inventory

• executing onboarding

• retrieving database records

• automating an entire service or collections workflow

  
  

From the outside, it looks like a simple “action.”

Inside, it is a component with structure, rules, permissions, and validations that allow the agent to operate with precision and security.

Why MCPs are a technical revolution

MCPs are not a traditional API nor a rigid plugin.

They are a modular standard that allows:

1. Unified connection with multiple systems:  An agent does not need to know how an ERP, a payment gateway, or a CRM works. It only needs to call the right module.
   

2. Autonomous execution: MCPs enable AI not only to return information, but to execute real actions inside enterprise systems.
   

3. Composition of complex processes:

   By chaining MCPs, an agent can complete end-to-end workflows, such as:

   client discovery → product configuration → contract generation → payment processing → service activation.

4. Security and granular control: Each MCP defines what it can do, with which parameters, under which permissions, and with what limits.

   
   

   The business retains full control over its systems.

5. Reutilización infinita:  A single MCP can be reused by:

• thousands of agents

• multiple teams

• different conversational channels

• future functionalities

No more rewriting integrations.

Why this matters for businesses today

Adopting MCPs is not just modernizing technology; it is transforming the operating model.

With MCPs, a company can:

• Turn its services into conversational products: If today you have an API, a form, or a manual process, tomorrow it can become a module that any agent can execute.
  

• Create agents that actually work: Not bots that respond, but agents that sell, collect, register, manage, and update data.
  

• Scale without increasing staff: MCPs allow dozens of processes to operate in parallel, without human intervention.
  

• Integrate without rebuilding systems: ERP, CRM, databases, payment gateways, legal systems… everything can connect through modules, with no infrastructure rewrite.
  

• Create new business lines: An MCP can become a product used by other agents. This opens new distribution and monetization opportunities.

The future has become modular, conversational, and executable

The market is moving toward a universal infrastructure where agreements are not coded, they are conversed.Where processes are not filled out, they are executed.

Where companies do not compete for the best app, but for the best modules and the best agents.

MCPs are the foundation of this transition.

Companies that understand this change will gain a structural advantage.Those that do not will remain stuck in an ecosystem that is already being left behind.

If you want to see how MCPs would work for your own processes, we can show you real examples of agents executing end-to-end operations in minutes.

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Discover how your company can convert its processes into conversational modules ready to scale.