A visual guide to AGENTS.md, Skills, and MCP for local-agent workflows

Anthropic has released a comprehensive framework for building local AI agents centered around two key components: the AGENTS.md specification and the Model Context Protocol (MCP). AGENTS.md provides a standardized markdown format for defining agent capabilities, personality, and available skills, allowing developers to create reproducible agent configurations that can be shared and reused across projects. This specification includes structured sections for agent identity, system prompts, available tools, and execution parameters, creating a common language for describing agent behavior.

The Model Context Protocol (MCP) serves as the communication layer that enables these agents to interact with external tools and data sources. MCP establishes a standardized way for agents to discover, authenticate, and utilize various capabilities through a server-client architecture. This protocol allows developers to create "skill servers" that expose specific functionalities—like file system access, web search, or API integrations—which agents can then leverage through a consistent interface. The combination of AGENTS.md for agent definition and MCP for tool integration creates a complete ecosystem for building sophisticated local agent workflows.

This framework represents a significant step toward making AI agent development more accessible and interoperable. By providing standardized specifications, developers can create agents that work consistently across different AI models and environments, reducing the fragmentation that has characterized early agent development. The local-first approach also addresses privacy and cost concerns by allowing agents to run entirely on local hardware without requiring cloud API calls for every interaction.