Model Context Protocol (MCP) is an open standard that enables AI assistants like ChatGPT to connect with external tools, data sources, and systems in a secure and structured way. Instead of relying only on built‑in knowledge, MCP allows the assistant to perform real actions such as reading files, managing content, or automating workflows.
At a high level, MCP works through a client‑server model. An MCP server exposes tools and resources using clear schemas. ChatGPT acts as the client, discovering available capabilities and calling them when needed. This makes integrations predictable, safe, and easier to maintain compared to ad‑hoc plugins or custom scripts.
One major advantage of MCP is standardization. Developers can build a tool once and make it available to multiple AI clients without rewriting logic for each platform. MCP also supports permission boundaries, so actions like publishing content or updating records can be controlled and audited.
In practical terms, MCP can connect ChatGPT with systems like WordPress, CRMs, databases, or internal APIs. Users can create pages, update posts, or retrieve data using natural language. As adoption grows, MCP is becoming a key building block for AI-powered automation, bridging conversational interfaces with real-world applications in a reliable and scalable way.