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Zapcap MCP Server

@bogdan01m

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

bogdan01m

投稿者

bogdan01m

Zapcap MCP Server について

An MCP server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API.

#mcp#zapcap#video-editing#video-captions#b-roll

Zapcap 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": {
    "zapcap": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "--init",
        "-i",
        "--net=host",
        "-v",
        "/home/$USER:/host/home/$USER",
        "-e",
        "ZAPCAP_API_KEY=your_api_key_here",
        "bogdan01m/zapcap-mcp-server:latest"
      ],
      "env": {
        "DOCKER_CLI_HINTS": "false"
      }
    }
  }
}

Zapcap 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 Zapcap Mcp Server?

An unofficial MCP server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API. It is designed for developers integrating video processing workflows into AI assistants like Claude Desktop or Cursor.

How to use Zapcap Mcp Server?

Install by adding the server to your MCP client’s mcp.json configuration using uvx zapcap-mcp-server, or run it via Docker. Set the ZAPCAP_API_KEY environment variable. The server exposes tools such as zapcap_mcp_upload_video, zapcap_mcp_create_task, and zapcap_mcp_monitor_task.

Key features of Zapcap Mcp Server

  • Upload videos via local file path or URL
  • Fetch available processing templates from ZapCap
  • Create fully customizable processing tasks (subtitles, styles, B-roll)
  • Monitor task progress in real time
  • Automatically injects API key – no manual token handling

Use cases of Zapcap Mcp Server

  • Automate video captioning and styling from a code editor or chat client
  • Bulk-process videos with consistent branding and subtitle preferences
  • Integrate ZapCap’s video pipeline into AI‑assisted content creation workflows

よくある質問

1

What are the requirements to run Zapcap Mcp Server?

You need `uv` (install from https://docs.astral.sh/uv/) and a ZapCap API key, obtainable at https://platform.zapcap.ai/dashboard/api-key after registering at https://zapcap.ai/.

2

How do I install Zapcap Mcp Server in my MCP client?

Add the configuration to your MCP client’s `mcp.json` file, specifying `"command": "uvx"`, `"args": ["zapcap-mcp-server"]`, and the `ZAPCAP_API_KEY` environment variable.

3

Can I run Zapcap Mcp Server with Docker?

Yes. A pre‑built Docker image is available on Docker Hub as `bogdan01m/zapcap-mcp-server:latest`. Mount necessary volumes and pass the API key via `-e ZAPCAP_API_KEY`.

4

How does Zapcap Mcp Server differ from calling the ZapCap API directly?

The server manages your API key once in the environment, allows natural language commands via the MCP interface, and validates all parameters with Pydantic for type safety.

5

What tools does Zapcap Mcp Server provide?

It offers five tools: `zapcap_mcp_upload_video`, `zapcap_mcp_upload_video_by_url`, `zapcap_mcp_get_templates`, `zapcap_mcp_create_task`, and `zapcap_mcp_monitor_task`.

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