Editing Model Context Protocol (section)

== Overview ==

MCP addresses a fundamental challenge in AI application development: integrating language models with external systems. Before MCP, developers needed to create custom integrations for each tool and data source, resulting in fragmented and difficult-to-maintain codebases.

=== Design philosophy ===

MCP follows several key principles:

* '''Vendor-agnostic''' – Works with any LLM provider, not just Anthropic
* '''Standardized interfaces''' – Consistent patterns for tool definition and invocation
* '''Security-focused''' – Built-in access control and audit capabilities
* '''Human-in-the-loop''' – Support for requiring human confirmation of actions