Agent Review
Agent review is the process of checking AI-made changes for accuracy, visual quality, links, accessibility, and consistency before publishing.
Agent review is important because AI can make fast changes across content and design. A review pass catches duplicate content, broken links, weak metadata, layout issues, or edits that do not match the project’s existing structure.
AGENTS.md
AI
AGENTS.md is a project instruction file that gives AI coding agents task context, workflow rules, and constraints so agent behavior aligns with team standards.
Agent Skills
AI
Agent Skills are modular capability definitions that package domain-specific guidance, tools, and patterns for recurring agent tasks.
Model Context Protocol (MCP)
AI
Model Context Protocol (MCP) is an open integration protocol that enables Framer Server API.AI agents to discover and use external tools, resources, and actions through MCP servers. If you want to learn more about how Framer integrates with MCP, check out the
MCP Server
AI
An MCP Server is a service that implements the Model Context Protocol, making external capabilities available to compatible AI agents.