MCP — Connecting Claude to Real Tools and Data
The problem MCP solves
By default, an AI model can only work with text you show it. MCP (Model Context Protocol) is an open standard that lets Claude connect to external systems — your calendar, a database, a project-management tool, a design tool like Figma — and actually read from or act on them, not just talk about them.
An MCP "server" is a bridge to one specific system
Each MCP server connects Claude to one thing — a GitHub MCP server lets Claude read issues and open pull requests; a Figma MCP server lets Claude read your design files. You connect the servers relevant to your work, and Claude gains real, live access to those systems.
Why it's an "open standard", and why that matters
Because MCP is a shared, open specification (not something only one company controls), many different companies and developers build MCP servers for their own tools — meaning the ecosystem of things Claude can connect to keeps growing without Anthropic having to build every single integration itself.
Key Takeaways
- MCP lets Claude connect to and act on external systems, not just talk about them in text.
- An MCP server bridges Claude to one specific system (GitHub, Figma, a database, etc.).
- Because MCP is an open standard, many companies build servers for it — the ecosystem grows independently.
- You connect only the MCP servers relevant to your own work.
List 3 systems worth connecting
Write down 3 tools or systems in your own work (a calendar, a task tracker, a database) that would be genuinely useful for an AI assistant to read from or act on directly.