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Publish docs sites from GitHub, connect AI agents, and work with buckets, files and support email through the API, SDKs, CLI and MCP.

Revdoku publishes API and integration docs from GitHub as docs sites, for people and AI agents.
Connect a repository, and each push publishes your docs site. People search the docs, ask AI and try the API.
AI agents read the docs through the site’s MCP server and llms.txt.

Each bucket holds the docs files, a copy of a GitHub repository or uploaded files, and publishes them as a site.
Each bucket also has a support mailbox. Readers’ questions arrive there as email, and a built-in AI agent drafts replies from the docs for a person to send.
Use the dashboard, the TypeScript or Python SDK, the REST API, the CLI or MCP.

Publish a docs site

Connect a GitHub repository and publish it as a docs site with search, Ask AI and an API console.

API quickstart

Publish from your code and read support email, in TypeScript, Python and cURL.

API reference

Every operation with its SDK calls, and a console to try the API.

Connect an AI app

Work with your buckets, sites and email from ChatGPT, Claude and other MCP clients.

Choose how to connect

Interface Best for Start here
Dashboard Connecting GitHub, publishing sites, support email, access and settings Open Revdoku · First docs site
TypeScript SDK Node.js applications and backend services Install · Quickstart · TypeScript SDK guide
Python SDK Python applications, scripts, and backend services Install · Quickstart · Python SDK guide
REST API Any language, and direct HTTP calls API guide · API reference · OpenAPI
Coding agents Claude Code, Codex, or Cursor writing your integration Build with coding agents
CLI Publishing from the terminal and uploading local files or folders CLI installation and commands
Hosted MCP AI clients that manage your buckets, sites and email MCP guide
Skill Local coding agents using the bundled CLI Skill installation

Get help

Contact support@revdoku.com for account, billing or access issues.

published with Revdoku