Search and read 1Password developer documentation with AI

These options read documentation only. To give agents access to secrets or integrate with 1Password APIs, see Secure AI access and Build integrations.

Quickstart

Give your LLM one of these URLs depending on what you need:

What you need	URL
Curated list of key articles with descriptions	`/llms.txt`
All documentation in a single file	`/llms-full.txt`
Any single page as Markdown	Append `.md` to the URL of any article
MCP server to search and retrieve docs in AI tools	`/mcp`

Choose how you use AI

Choose the setup that matches your AI tool.

Ask in a chatbot

Use ChatGPT, Claude, Perplexity, or similar web chat to ask questions about 1Password developer tools.

Code with an AI agent or IDE

Connect Claude Code, Cursor, Windsurf, VS Code, or another coding assistant so it can search docs while you write code.

Build a custom agent or pipeline

Fetch documentation over HTTP for custom RAG pipelines, embedding indexes, or agent frameworks you run yourself.

Ask in a chatbot

In web chat, share a documentation URL or paste content from an article.

Ask about one page

On any article, select the down arrow next to “Copy page”, then:

Select Open in ChatGPT, Open in Claude, or Open in Perplexity to ask questions about that page.
Copy the article as Markdown and paste it into your conversation.

You can also share the article’s Markdown URL by appending .md to the page URL. For example, https://www.1password.dev/cli/get-started.md.

Ask about the docs site

Share a URL and ask the model to read it:

https://www.1password.dev/llms.txt: Curated index of quickstarts, workflow guides, and key entry points. A good default when you want the assistant to orient itself, then fetch linked pages as needed.
https://www.1password.dev/llms-full.txt: All published documentation in one file. Use when you need exhaustive coverage in a single request and have a large enough context window.

Code with an AI agent or IDE

This section covers AI tools that help you write code, not standalone web chat. Setup depends on your tool:

Terminal agent: Run an AI from your terminal, like Claude Code . It edits files, runs commands, and answers questions from the shell.
AI-native editor: Use built-in AI chat or agent mode in your editor, like Cursor Agent or Windsurf Cascade.
IDE extension: Add AI to a traditional editor, like VS Code with GitHub Copilot or Claude .

Claude Code
Cursor
Windsurf
VS Code

With MCP:Connect to the public documentation search server at https://www.1password.dev/mcp using Model Context Protocol (MCP) . The server is public and requires no authentication. Your tool can search and retrieve documentation as Markdown during a session.On any article, select Copy page → Copy MCP Server to copy the server URL.Run this command in your terminal:

claude mcp add --transport http 1password-dev https://www.1password.dev/mcp

Without MCP:

Share /llms.txt in a Claude Code session and ask it to read the docs.
For exhaustive coverage, share /llms-full.txt.
Select Copy page to copy the current article, or select Open in Claude to ask questions about the page.

With MCP:Connect to the public documentation search server at https://www.1password.dev/mcp using Model Context Protocol (MCP) . The server is public and requires no authentication. Your tool can search and retrieve documentation as Markdown during a session.On any article, select Copy page → Connect to Cursor or Copy MCP Server to install the server or copy the URL.In Cursor, add an entry to .cursor/mcp.json:

{
  "mcpServers": {
    "1password-dev": {
      "url": "https://www.1password.dev/mcp"
    }
  }
}

Without MCP:

In Cursor, use @Docs to add https://www.1password.dev/llms.txt as a documentation source.
For exhaustive coverage, paste https://www.1password.dev/llms-full.txt in a chat or agent prompt.
Select Copy page to copy the current article.

{
  "mcpServers": {
    "1password-dev": {
      "serverUrl": "https://www.1password.dev/mcp"
    }
  }
}

Without MCP:

Share https://www.1password.dev/llms.txt in a Cascade chat or agent prompt.
For exhaustive coverage, paste https://www.1password.dev/llms-full.txt in a chat or agent prompt.
Select Copy page to copy the current article.

With MCP:Connect to the public documentation search server at https://www.1password.dev/mcp using Model Context Protocol (MCP) . The server is public and requires no authentication. Your tool can search and retrieve documentation as Markdown during a session.On any article, select Copy page → Connect to VS Code or Copy MCP Server to install the server or copy the URL.Add to .vscode/mcp.json:

{
  "servers": {
    "1password-dev": {
      "type": "http",
      "url": "https://www.1password.dev/mcp"
    }
  }
}

See your extension’s documentation if your setup uses a different config path.Without MCP:

Share https://www.1password.dev/llms.txt in a chat or agent prompt.
For exhaustive coverage, paste https://www.1password.dev/llms-full.txt in a chat or agent prompt.
Select Copy page to copy the current article.

Build a custom agent or pipeline

If you’re building an agent or automation pipeline and control how documentation is fetched, use HTTP retrieval or MCP.

Direct HTTP retrieval

Use this when you manage retrieval yourself, such as custom RAG pipelines, embedding indexes, or batch jobs that don’t use MCP.

Start from /llms.txt for a curated map of entry points, then fetch linked pages as Markdown.
Append .md to any article URL to fetch a specific page. For example, https://www.1password.dev/cli/get-started.md.
Use /llms-full.txt when you need all published pages in one request.

MCP

If your agent framework supports HTTP MCP servers, register https://www.1password.dev/mcp so the agent can search and retrieve documentation during a run. Agents can also discover the server using /.well-known/mcp.json.

Documentation formats

Not every format includes the same pages. llms.txt is a curated map of entry points; llms-full.txt, per-page .md, and MCP give you access to the full published documentation. llms.txt is the source of truth for what is in the curated map.

Format	Coverage	URL	Best for
`llms.txt`	Curated entry points: quickstarts, workflow guides, and key overviews per product	`https://www.1password.dev/llms.txt`	Orienting an AI, then fetching linked pages for depth
`llms-full.txt`	All published pages (regenerated on every deploy)	`https://www.1password.dev/llms-full.txt`	Exhaustive coverage in a single request; requires a large context window
Per-page `.md`	One article	Append `.md` to any article URL	A specific topic. Also available from Copy page → View as Markdown
MCP	Search all published pages	`https://www.1password.dev/mcp`	Search and retrieve docs in AI tools and agents. See Code with an AI agent or IDE and Build a custom agent or pipeline. Discoverable at `/.well-known/mcp.json`

About the llms.txt standard

The llms.txt standard is an open specification for making website content accessible to LLMs. It provides a structured, machine-readable Markdown index at a well-known URL (/llms.txt), so AI systems can discover and consume documentation without parsing HTML. The standard recommends curation over dumping an entire site into one file.

​Quickstart

​Choose how you use AI

Ask in a chatbot

Code with an AI agent or IDE

Build a custom agent or pipeline

​Ask in a chatbot

​Ask about one page

​Ask about the docs site

​Code with an AI agent or IDE

​Build a custom agent or pipeline

​Direct HTTP retrieval

​MCP

​Documentation formats

​About the llms.txt standard

Quickstart

Choose how you use AI

Ask in a chatbot

Ask about one page

Ask about the docs site

Code with an AI agent or IDE

Build a custom agent or pipeline

Direct HTTP retrieval

MCP

Documentation formats

About the llms.txt standard