What is the Master Control Program (MCP)?

The Master Control Program (MCP) is a specification that defines a standard way for AI agents and development tools to communicate with each other. It acts as a universal translator, allowing different systems to work together seamlessly.

Key Concepts

• MCP Server: An application that implements the MCP specification. It exposes a set of tools and resources that can be used by other MCP-enabled applications.
• Tools: Functions that can be executed by an MCP server. For example, a tool might create an issue in a bug tracker or search for a document in a knowledge base.
• Resources: Data sources that can be accessed through an MCP server. This could be anything from a file on the local system to the response from a third-party API.

Why is MCP Important?

MCP enables a new level of interoperability between AI agents and developer tools. By providing a standardized communication protocol, it allows for the creation of powerful, integrated workflows that were not previously possible.

For example, an AI coding assistant could use an MCP server to:

• Access documentation from a knowledge base
• Create and update issues in a project management tool
• Search for relevant code snippets in a shared repository

This allows the AI to have a much deeper understanding of the development environment and to perform more complex tasks with greater accuracy.

For teams using MCP-connected agents in production workflows, interoperability also creates a governance challenge. Preloop uses MCP as part of a broader AI safety and control platform so teams can apply approvals, policy enforcement, runtime visibility, and audit trails. For the AI governance angle, see EU AI Act readiness with Preloop.