MCP: An (Accidentally) Universal Plugin System (worksonmymachine.substack.com)

Article summary

The article discusses the Model Context Protocol (MCP), a standardized plugin system that enables AI agents to discover and interact with various tools and services. MCP provides a simple and universal way for AI models to integrate with different applications and APIs. The protocol includes a reflection endpoint that allows AI models to discover the capabilities of an API and retrieve human-readable documentation. This enables AI models to generate code and interact with APIs without requiring manual configuration.

Main themes

• MCP and AI integration
• Plugin systems and APIs
• JSON schema and data structure
• Security and complexity
• Machine-to-machine communication
• HATEOAS and REST

What commenters say

• MCP is a simple and universal plugin system that enables AI agents to discover and interact with various tools and services.
• The use of JSON schema in MCP may not be the most effective choice, as XML provides better context and structure for AI models.
• MCP is not a new concept, but rather a reimplementation of existing ideas, such as APIs and operating system interfaces.
• The self-describing nature of MCP is a key feature that sets it apart from other protocols, such as REST and OpenAPI.
• The use of MCP could lead to security risks and complexity, similar to the issues experienced with COM/DCOM and ActiveX.
• MCP is more suitable for machine-to-machine communication than human-to-machine communication, unlike HATEOAS which requires human interaction.
• The discoverability mechanism in MCP is a significant improvement over existing protocols, such as OpenAPI, which lacks a built-in discovery mechanism.
• The simplicity and universality of MCP make it an attractive choice for AI model integration, despite potential limitations and drawbacks.