For AI agents

An MCP server, llms.txt, markdown pages and in-page tools, so coding agents read these docs instead of guessing.

• Interactive page: https://m3e.ljzapps.app/#foundations/ai-agents

This site is an interactive app, which agents cannot read. Everything on it is also published as plain files and through a Model Context Protocol server, generated from the same sources as the pages.

Endpoints (relative to the site origin)

• /mcp: MCP server, Streamable HTTP, read only, no login
• /llms.txt: curated index of every page
• /llms-full.txt: all pages in one file
• /docs/index.json: ids, categories, APIs and parameters
• /docs/snippets.json: every example as JSON
• /docs/tokens.json: baseline colors, type scale and shapes
• /docs/components/{id}.md and /docs/foundations/{id}.md: any page as markdown
• /skills/m3-expressive-docs/SKILL.md: instructions for coding agents
• /.well-known/mcp/server-card.json: discovery metadata

Connect a coding agent

claude mcp add --transport http m3-docs https://YOUR-DOCS-DOMAIN/mcp

Cursor .cursor/mcp.json: {"mcpServers":{"m3-docs":{"url":"https://YOUR-DOCS-DOMAIN/mcp"}}}

VS Code .vscode/mcp.json: {"servers":{"m3-docs":{"type":"http","url":"https://YOUR-DOCS-DOMAIN/mcp"}}}

Tools

search_docs, list_components, get_component, get_foundation, get_snippet, find_by_api, get_design_tokens. Resources m3docs://components/{id} and prompts implement_component and review_expressive_usage are also available.

In the browser

Browsers that implement WebMCP (document.modelContext) get the tools search_docs, get_page_markdown, open_page, get_current_page and set_theme for the open tab.