Gemini Skills vs MCP Servers

Agent Skills and MCP Servers are complementary approaches to extending AI agent capabilities. Understanding when to use each is key to building effective AI workflows.

Agent Skills (SKILL.md): Skills are markdown-based instruction packages that give agents domain expertise. They contain procedures, best practices, code templates, and decision frameworks. Skills are lightweight, portable across 30+ tools, and require no server infrastructure. They work by providing context and instructions that shape how the agent approaches tasks.

MCP Servers: The Model Context Protocol provides a standardized way to connect AI agents to external tools and data sources. MCP servers expose functions that agents can call - database queries, API integrations, file system access, and more. They require running server processes but enable real-time data access and tool execution.

When to use Skills: Use skills for domain knowledge, coding standards, workflow procedures, and task-specific expertise. Skills are ideal when the agent needs to know HOW to do something following specific patterns.

When to use MCP: Use MCP when the agent needs to ACCESS external systems, query live data, or execute operations that require authenticated API calls. MCP is for WHAT tools are available.

Best practice: Combine both. Use Skills to teach the agent your team's procedures and MCP servers to give it access to your tools and data.