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Videoindexer MCP Server

@benbakhar

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

benbakhar

关于 Videoindexer MCP Server

MCP server for using the Azure AI Video Indexer API

Videoindexer 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": {
    "videoindexer-mcp": {
      "command": "/path/to/videoindexer-mcp/bin/python",
      "args": [
        "/path/to/your/videoindexer-mcp/src/main.py"
      ],
      "env": {
        "VI_ACCOUNT_TOKEN": "<your_video_indexer_account_token>"
      },
      "transportType": "stdio"
    }
  }
}

Videoindexer 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 Videoindexer Mcp?

Videoindexer Mcp is a Model Context Protocol (MCP) server that provides tools and resources for interacting with Video Indexer APIs. It enables developers to feed LLMs with video insights and automate API interactions.

How to use Videoindexer Mcp?

Clone the repository, create and activate a Python virtual environment, install dependencies with pip install -r requirements.txt, and install the package with pip install -e .. Configure the server with your Video Indexer account token in the VI_ACCOUNT_TOKEN environment variable and run via stdio transport. Invoke the provided tools vi_prompt_content and vi_get_prompt_content through your MCP client.

Key features of Videoindexer Mcp

  • vi_prompt_content: Generate prompt content from video insights
  • vi_get_prompt_content: Retrieve generated prompt content for a video
  • Feed LLMs with video insights
  • Automated API interactions via MCP tools

Use cases of Videoindexer Mcp

  • Feed LLMs with video insights from Video Indexer
  • Automate API interactions for video analysis workflows

常见问题

1

What does Videoindexer Mcp do?

It provides MCP tools to interact with Video Indexer APIs, specifically to generate and retrieve prompt content from video insights.

2

How do I install Videoindexer Mcp?

Clone the repository, create a Python virtual environment, activate it, then run `pip install -r requirements.txt` followed by `pip install -e .`.

3

What environment variables are required?

You must set the `VI_ACCOUNT_TOKEN` environment variable to your Video Indexer account token.

4

What transport does Videoindexer Mcp use?

It uses `stdio` transport as shown in the example configuration.

5

Can I use Videoindexer Mcp with LLMs?

Yes, the server is designed to feed LLMs with video insights via its `vi_prompt_content` and `vi_get_prompt_content` tools.

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