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](https://modelcontextprotocol.io/docs/develop/build-server)
*   [Build clients: Develop applications that connect to MCP servers](https://modelcontextprotocol.io/docs/develop/build-client)

## Learn more
*   [Understand concepts: Learn the core concepts and architecture of MCP](https://modelcontextprotocol.io/docs/learn/architecture)

[Source](https://modelcontextprotocol.io/docs/getting-started/intro)