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Zapcap MCP Server

@bogdan01m

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

bogdan01m

提交者

bogdan01m

关于 Zapcap MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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

常见问题

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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