Agent Handoff
An agent handoff is the transfer of context, files, or tasks from one AI agent to another so work can continue without losing project intent.
An agent handoff keeps a workflow moving when a task needs a different tool, model, or specialist. In Framer, this can mean passing site context from a design-focused agent to a coding or CMS-focused agent while preserving the user’s goals and constraints.
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.