MCP is an open standard designed by Anthropic to standardize the integration between Large Language Models (LLMs) and their environment. It solves the “M×N integration problem” by providing a uniform protocol for clients, servers, and tools, allowing AI applications to interact with dynamic data sources seamlessly.

MCP enables host applications to mediate between LLMs and various servers. It provides real-time access to current context through resources (application-driven content), tools (model-controlled actions), and prompts (user-controlled templates), ensuring the model always has up-to-date environmental information.

The whitepaper identifies three major threats:

Tool Poisoning: Malicious instructions embedded in tool descriptions.

Rug Pulls: Changing tool descriptions after user approval has been granted.

Name Spoofing: Tricking models into using malicious versions of trusted tools or servers.

The MCP Maturity Model, inspired by the Richardson Maturity Model, categorizes server implementation into four levels:

Level 0: Direct one-to-one API implementation (often leads to “amusing disasters”).

Level 1: Integration of hints and instructions in tool descriptions to improve stability.

Level 2: Understanding of domain workflows, using links to resources for complex task execution.

Level 3: Self-improving systems that specify next steps or additional servers through hypermedia-like structures.

The analogy refers to MCP’s ability to replace proprietary, one-off connectors with a universal standard. Just as USB-C standardized hardware connections, MCP standardizes how AI agents access data and tools regardless of the underlying LLM provider (Anthropic, Google, OpenAI), reducing architectural bloat and technical debt.

Security should be managed through:

Sandboxing: Running MCP servers in isolated environments (e.g., Docker MCP Registry).

Advanced Auth: Using OAuth 2.1 and AAuth extensions for delegated “on-behalf-of” user authorization.

Human-in-the-Loop: Implementing elicitation patterns to verify risky or destructive agent actions before execution.