DeepSRT MCP Server

A Model Context Protocol (MCP) server that provides YouTube video summarization functionality through integration with DeepSRT's API.

Features

Generate summaries for YouTube videos
Support for both narrative and bullet-point summary modes
Multi-language support (default: zh-tw)
Seamless integration with MCP-enabled environments

How it Works

Content Caching
- Videos must first be opened through DeepSRT to ensure content is cached in the service
- This initial viewing triggers the caching process in the DeepSRT service
MCP Summary Retrieval
- When requesting summaries through MCP, the content is served from DeepSRT's CDN edge locations
- This ensures fast and efficient delivery of summaries
Pre-cached Content
- Some videos may already be cached in the system from previous user requests
- While you might be able to fetch summaries for these pre-cached videos, availability is not guaranteed
- For best results, ensure videos are first opened through DeepSRT

Installation

Installing for Claude Desktop

First, build the server:

npm install
npm run build

Add the server configuration to your Claude Desktop config file:

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "deepsrt-mcp": {
      "command": "node",
      "args": [
        "/path/to/deepsrt-mcp/build/index.js"
      ]
    }
  }
}

Installing for Cline

Just ask Cline to install in the chat:

"Hey, install this MCP server for me from https://github.com/DeepSRT/deepsrt-mcp"

Cline will auto install deepsrt-mcp for you and update your cline_mcp_settings.json.

Usage

The server provides the following tool:

get_summary

Gets a summary for a YouTube video.

Parameters:

videoId (required): YouTube video ID
lang (optional): Language code (e.g., zh-tw) - defaults to zh-tw
mode (optional): Summary mode ("narrative" or "bullet") - defaults to narrative

Example Usage

Using Claude Desktop:

// The MCP tool will fetch the video summary
const result = await mcp.use_tool("deepsrt-mcp", "get_summary", {
  videoId: "dQw4w9WgXcQ",
  lang: "zh-tw",
  mode: "narrative"
});

Using Cline:

const result = await mcp.use_tool("deepsrt", "get_summary", {
  videoId: "dQw4w9WgXcQ",
  lang: "zh-tw",
  mode: "bullet"
});

Development

Install dependencies:

npm install

Start development server:

npm run dev

Build for production:

npm run build

Demo

FAQ

Q: I am getting 404 error, why?

A: This is because the video summary is not cached in the CDN edge location, you need to open this video using DeepSRT chrome extension to have it cached in the CDN network before you can get that summary using MCP.

You can verify the cache status using cURL like this

curl -s 'https://worker.deepsrt.com/transcript' \
-i --data '{"arg":"v=VafNvIcOs5w","action":"summarize","lang":"zh-tw","mode":"narrative"}' | grep -i "^cache-status"
cache-status: HIT

If you see cache-status: HIT the content is cached in the CDN edge location and your MCP server shoud not get 404.

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An MCP server that enables users to generate summaries of YouTube videos in multiple languages and formats through integration with DeepSRT's API.

Related Resources

Reddit Discussion about this server

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