docs/knowledge_base/mcp_intro.md

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a standard for connecting AI systems with external tools and data sources.

What can MCP enable?

• Agents can access your Google Calendar and Notion, acting as a more personalized AI assistant.
• Claude Code can generate an entire web app using a Figma design.
• Enterprise chatbots can connect to multiple databases across an organization, empowering users to analyze data using chat.
• AI models can create 3D designs on Blender and print them out using a 3D printer.

Why does MCP matter?

• Developers: MCP reduces development time and complexity when building, or integrating with, an AI application or agent.
• AI applications or agents: MCP provides access to an ecosystem of data sources, tools and apps which will enhance capabilities and improve the end-user experience.
• End-users: MCP results in more capable AI applications or agents which can access your data and take actions on your behalf when necessary.

Start Building

• Build servers: Create MCP servers to expose your data and tools
• Build clients: Develop applications that connect to MCP servers

Learn more

• Understand concepts: Learn the core concepts and architecture of MCP

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