Rendley MCP Server

@rendleyhq

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

rendleyhq

投稿者

Grigore Budac

Rendley MCP Server について

Rendley’s MCP server gives your AI client a full video editor. Connect it once, then create and edit video by describing what you want, in the same chat you already work in. The client uses your own footage, your brand kit, and Rendley’s stock and AI tools, and hands back a finis

Rendley MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "rendley-mcp": {
      "command": "bun",
      "args": [
        "dev",
        "#",
        "http://localhost:8787"
      ]
    }
  }
}

Rendley MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Rendley MCP?

Rendley MCP is a Model Context Protocol server that gives an AI assistant a full video editor. It connects to the hosted Rendley editor and API, allowing users to create and edit videos by describing what they want in their chat interface. It is designed for anyone who wants to generate or edit videos conversationally.

How to use Rendley MCP?

Users can either connect to the hosted server at https://mcp.rendley.com/mcp or self-host the server using Bun or Docker. Clients authenticate via OAuth sign‑in or an API key sent as a Bearer header. Once connected, ask the assistant what it can do, then describe the desired video.

Key features of Rendley MCP

Connect once and create/edit videos by describing them.
Drives the hosted Rendley editor in a browser.
Supports both remote MCP and plain HTTP REST endpoints.
Authenticates per request with the caller’s own API key or OAuth.
Self-hostable; single‑tenant per instance.
Browser launches lazily; concurrent requests reuse separate tabs.

Use cases of Rendley MCP

Create a video slideshow from a set of image URLs via chat.
Edit an existing project by giving a natural‑language prompt.
Automate video generation in backend systems using the REST API.
Integrate video editing into an AI assistant workflow.

よくある質問

How does authentication work?

Clients authenticate each request. Use an API key from Settings → API Keys sent as a Bearer token, or let the client run an OAuth sign‑in flow.

What are the runtime requirements to self‑host?

Bun >= 1.1 (or Docker) and a Rendley account. The server holds no credentials; it talks to the hosted Rendley API and editor. Local mode needs Chrome (bundled or system) or a remote browser worker.

Where does video data live?

Media attachments must be public URLs – the editor imports them via the batch upload API. No local‑file uploads are accepted through MCP.

What transports are available?

The server supports MCP Streamable HTTP at `/mcp` and a plain REST endpoint at `/v1/agent` (asynchronous, pollable). A health check is at `/health`.

Are there any known limits?

Jobs run asynchronously; completed results are held in memory for 1 hour. A server restart drops all job state. The browser is single‑tenant per instance; concurrent jobs are handled via separate tabs.

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