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Videoseek

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Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.

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Описание

Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.

README

Find anything in any video. Semantic video search, video Q&A, persistent memory, and social media import — all as MCP tools for your AI agent.

What can it do?

Give your AI agent (Claude, Cursor, Windsurf, etc.) the ability to:

  • Search videos by meaning — "find the moment where someone opens the gift" across your entire library
  • Ask questions about videos — multi-turn conversations with one video or your whole collection
  • Remember everything — persistent text + video memory that never forgets (Memory Augmented Generation)
  • Import from social media — pull and index content from TikTok, YouTube, Instagram, and 15+ platforms
  • Analyze on-the-fly — describe any video or image from URL without uploading
  • Transcribe — get visual scene descriptions or spoken word transcripts

Quick Start

1. Get an API Key

Sign up at memories.ai and grab your key from the API keys page. Free tier includes 100 credits/month.

2. Install

git clone https://github.com/kennyzheng-builds/videoseek-mcp.git
cd videoseek-mcp
npm install --include=dev
npm run build

3. Connect to your AI client

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "videoseek": {
      "command": "node",
      "args": ["/path/to/videoseek-mcp/build/index.js"],
      "env": {
        "MEMORIES_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "videoseek": {
      "command": "node",
      "args": ["/path/to/videoseek-mcp/build/index.js"],
      "env": {
        "MEMORIES_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

export MEMORIES_API_KEY="your-api-key"
claude mcp add videoseek -- node /path/to/videoseek-mcp/build/index.js

Tools (18)

Video Management

Tool What it does
upload_video Upload and index a video from URL
list_videos List all indexed videos
get_video_status Check processing status
delete_videos Remove videos from your library
get_transcription Get visual or audio transcription

Search

Tool What it does
search_videos Semantic search across your private video library
search_public Search TikTok, YouTube, Instagram by meaning
search_audio Find when something was said in a video

Video Q&A

Tool What it does
chat_with_video Ask questions about specific videos (multi-turn)
chat_personal Ask questions across your entire library + memories

Persistent Memory

Tool What it does
add_memory Store text with semantic indexing
search_memories Find relevant memories by meaning
list_memories List all stored memories

Vision Analysis

Tool What it does
caption_video Analyze a video from URL (no upload needed)
caption_image Analyze an image from URL

Social Media Import

Tool What it does
import_from_url Import from any social media URL
import_by_hashtag Import by hashtag from TikTok/YouTube/Instagram
import_by_creator Import from a creator's profile

Resources & Prompts

Resources: memories://videos (your library), memories://memories (your stored knowledge)

Prompt templates: analyze-video, social-media-research, build-knowledge-base

Example Conversations

"Find a moment"

You: Find all moments where someone is cooking pasta

Agent uses search_videos → returns timestamped video segments

"Understand a video"

You: What's happening in this video? [URL]

Agent uses caption_video → instant analysis without uploading

"Research TikTok"

You: Research AI trends on TikTok

Agent uses search_publicimport_from_urlchat_personal for insights

"Build knowledge"

You: Summarize all my meeting recordings

Agent uses list_videosget_transcriptionadd_memory for key takeaways

How It Compares

Feature videoseek-mcp TwelveLabs MCP
Persistent memory (text + video) Yes No
Social media import (15+ platforms) Yes No
Memory Augmented Generation Yes No
Free tier 100 credits/month 10 hours
Multi-video Q&A Yes Yes
Semantic search Yes Yes

Environment Variables

Variable Required Default Description
MEMORIES_API_KEY Yes API key from memories.ai
MEMORIES_UNIQUE_ID No "default" Namespace for multi-tenant isolation

Development

npm install --include=dev
npm run build          # compile TypeScript
npm run dev            # watch mode
npx @modelcontextprotocol/inspector node build/index.js   # test interactively

Architecture

videoseek-mcp/
├── src/
│   ├── index.ts     # MCP server — 18 tools, 2 resources, 3 prompts
│   └── client.ts    # Video understanding API client
├── build/           # Compiled JS (generated)
├── package.json
└── tsconfig.json

TypeScript + Zod schemas + stdio transport. No dependencies beyond MCP SDK.

License

MIT

from github.com/kennyzheng-builds/videoseek-mcp

Установка Videoseek

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/kennyzheng-builds/videoseek-mcp

FAQ

Videoseek MCP бесплатный?

Да, Videoseek MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Videoseek?

Нет, Videoseek работает без API-ключей и переменных окружения.

Videoseek — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Videoseek в Claude Desktop, Claude Code или Cursor?

Открой Videoseek на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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