Revdoku
@revdoku
关于 Revdoku
Revdoku lets Claude, Codex, ChatGPT, and other AI agents publish generated reports, dashboards, prototypes, documents, and interactive app sites as real websites. Sites can be public, password-protected, or mapped to your own domain; regenerating keeps the same URL.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"revdoku": {
"url": "https://app.revdoku.com/mcp"
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Revdoku?
Revdoku is an MCP server that lets AI agents (like Claude, Codex, or ChatGPT) create and manage Revdoku buckets, write website files, publish live sites, and use Revdoku’s app-site database features. It turns AI-generated reports, dashboards, or prototypes into real websites—public, password-protected, or on a custom domain.
How to use Revdoku?
Connect your AI agent (Claude, Codex, ChatGPT) to the remote MCP endpoint at https://app.revdoku.com/mcp. Once connected, the agent can create buckets, upload content, and publish sites. Regenerate content anytime; the URL remains unchanged.
Key features of Revdoku
- Turn AI-generated content into live websites.
- Support for public, password-protected, and custom-domain sites.
- Create and manage Revdoku buckets.
- Write and publish website files.
- Use app-site database for visitor submissions and feedback.
- Enable searchable support pages and owner notifications.
Use cases of Revdoku
- Publish an AI‑generated report as a public website.
- Host a password‑protected dashboard for a client.
- Keep a stable URL while iterating content with AI.
- Collect user feedback or submissions via embedded forms.
- Build a searchable support page that notifies the owner.
FAQ from Revdoku
What makes Revdoku different from other site deployment tools?
Revdoku is designed specifically for AI agents: it allows them to create, publish, and update websites programmatically without manual steps, and the URL never changes even when content is regenerated.
What are the system requirements or dependencies?
The README does not specify any dependencies. It requires an AI agent that supports MCP and an internet connection to reach the remote endpoint at https://app.revdoku.com/mcp.
Where does the website data live?
Website files and bucket data are stored on Revdoku’s servers. The exact data residency is not detailed in the README.
What transport and authentication does Revdoku use?
The server uses a remote MCP endpoint (likely HTTPS). No authentication details are provided in the README.
Are there any known limits?
The README does not mention any limits on number of buckets, sites, or visitors.
AI 与智能体 分类下的更多 MCP 服务器
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
🛡️ A.I.G(AI-Infra-Guard)
TencentA full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Hass-MCP
voskaControl and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
评论