Model Context Protocol

Install and use MCP

Protocol-driven tool integration layer used by AI agents to connect with structured tools, servers, and external context.

Quick summary

Set up an MCP-compatible client or agent, configure trusted MCP servers, then connect reusable workflows and tools deliberately.

01Choose an MCP-compatible client or agent environment.
02Configure the MCP server entries you actually trust and need.
03Verify each server tool contract before letting it touch real systems.
04Use small, testable workflows first before wiring MCP into broader automation.

MCP setups vary by client; skills usually map to tool definitions, server configuration, or reusable workflow instructions.

MCP is a protocol, not a single app, so installation depends on the client you use.
Treat every MCP server like executable infrastructure: verify permissions and scope before enabling it.

Model Context Protocol

Protocol-driven tool integration layer used by AI agents to connect with structured tools, servers, and external context.

Set up an MCP-compatible client or agent, configure trusted MCP servers, then connect reusable workflows and tools deliberately.

01Choose an MCP-compatible client or agent environment.
02Configure the MCP server entries you actually trust and need.
03Verify each server tool contract before letting it touch real systems.
04Use small, testable workflows first before wiring MCP into broader automation.

MCP setups vary by client; skills usually map to tool definitions, server configuration, or reusable workflow instructions.

MCP is a protocol, not a single app, so installation depends on the client you use.
Treat every MCP server like executable infrastructure: verify permissions and scope before enabling it.