34 · Model Context Protocol

Third assembly line point · Technological HeterogeneityModel Context Protocol

The Model Context Protocol (MCP) is an open standard to standardize the way AI systems integrate and share data with external tools, systems, and data sources.

Former direct function call

💻Sosta App

Agent

MCP
Client

MCP

🗄️MCP Server

db-stops: all available dining options with coordinates and refueling types.

Fully framework-agnostic

Direct Function Calling is tied to a specific AI library/framework language (e.g. Python wrappers), MCP is not.

Infrastructure Flexibility

Unlike DFC, backend/DB updates happen strictly inside the MCP server without touching agent code.

Independent Scalability

In DFC, agent and tools share the same runtime/container, forcing monolithic scaling for heavy workloads. MCP scales independently from the Agent(s).

Isolation

DFC is a shared execution environment where the agent holds full cloud/DB credentials, increasing risk during prompt injection. MCP is isolated from the Agent(s) it speaks with.