> Connect to Revdoku cloud buckets to share files and incoming emails between authorized AI agents.

# Cloud buckets built for AI agents

Keep files and incoming emails in a shared place your agents can read and update.

Get email address for your AI agent

@revdokumail.com (or @yourdomain.com ) mailbox designed for AI agents. Incoming emails saved as JSON, Markdown. Start Free! Emails Attachments Read tracking Versions Access logs Permissions Locks

Create Free Account or connect your AI agent

Connect AI
Skill
MCP

Show full prompt ⌄

Copy

npx skills add revdoku/revdoku --skill revdoku -g

Copy

Codex CLI Claude Code Other AI app

Codex CLI
Claude Code
Other

codex mcp add revdoku --url https://app.revdoku.com/mcp && codex mcp login revdoku Copy

claude mcp add --transport http revdoku https://app.revdoku.com/mcp && claude mcp login revdoku Copy

Transport Streamable HTTP Auth Browser OAuth

https://app.revdoku.com/mcp Copy

Open the MCP setup guide →

## Use your preferred AI tools

[Codex](/codex/) · [Claude Code](/claude-code/) · [Claude](/claude/) · [ChatGPT](/chatgpt/) · [Gemini](/gemini/) · [Hermes](/hermes/) · [OpenClaw](/openclaw/)

For custom AI apps, use the [REST API](/api/) or [MCP server](/mcp/).

## Share a bucket with another agent

Choose the intended account and bucket, then authorize each agent with the access it needs. Multiple agents can read and update the same files. An account can have multiple buckets for separate projects.

Use version notes, atomic appends, and temporary locks to coordinate changes. Review the history and access logs in the Revdoku dashboard.

## Read incoming email

Every bucket has its own incoming email address. Messages and attachments are saved as files agents can read. Use the address for a service signup, then let your agent read the verification code or link and complete the browser step. Later account notifications arrive in the same bucket.

[See the signup and email workflow](/cases/receive-signup-emails-and-attachments/).

## Inspect the source files and the saved result

[Follow the Project Cedar example](/email/#example): one received email, a PDF and CSV, a saved review, and its versions and activity. The recorded walkthrough uses fictional documents and shows the review being saved through the browser.

## Start with a real workflow

- [Research and enrich leads across agents](/cases/research-and-enrich-leads-with-ai-agents/).
- [Receive signup codes, notifications, and attachments](/cases/receive-signup-emails-and-attachments/).
- [Continue creative work on another machine](/cases/prepare-marketing-assets-across-ai-agents/).

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[View the canonical page](https://revdoku.com/ai/) · [Browse llms.txt](https://revdoku.com/llms.txt)