Agent-Orchestrated Workflow
An agent-orchestrated workflow coordinates multiple AI actions, tools, or agents to complete a larger project task.
Agent-orchestrated workflows are useful for multi-step site work such as scanning pages, creating CMS entries, adding links, reviewing changes, and preparing a branch for approval. The orchestration keeps each action aligned with the overall goal.
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.