Agent Context
Agent context is the project information, user intent, constraints, and prior conversation an AI agent uses to make accurate changes.
Agent context helps an AI system understand what it is editing and why. Strong context can include the selected page, existing CMS structure, current design patterns, and instructions from the user, which reduces generic or mismatched output.
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.