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Videoseek

Videoseek

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github.com/kennyzheng-buildsSearch2Updated 33w ago

About Videoseek

Videoseek is an MCP server for agents that search and ask questions about video libraries or public social video. It combines semantic search, video analysis, imports, and persistent text and video memories.

Key features

  1. 01Search videos by meaning
  2. 02Ask questions about videos
  3. 03Store and search persistent memories
  4. 04Import social media content
  5. 05Analyze video and image URLs
  6. 06Retrieve visual or audio transcripts

Use cases

  1. 01Find specific moments across a video library
  2. 02Ask questions about one video or a collection
  3. 03Research trends in public social videos
  4. 04Summarize meeting recordings into memories

MCP support

Videoseek exposes 18 MCP tools for video management, search, Q&A, memory, vision analysis, and social media import. It also provides video and memory resources and prompt templates.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

videoseek-mcp

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
ToolWhat it does
upload_videoUpload and index a video from URL
list_videosList all indexed videos
get_video_statusCheck processing status
delete_videosRemove videos from your library
get_transcriptionGet visual or audio transcription
Search
ToolWhat it does
search_videosSemantic search across your private video library
search_publicSearch TikTok, YouTube, Instagram by meaning
search_audioFind when something was said in a video
Video Q&A
ToolWhat it does
chat_with_videoAsk questions about specific videos (multi-turn)
chat_personalAsk questions across your entire library + memories
Persistent Memory
ToolWhat it does
add_memoryStore text with semantic indexing
search_memoriesFind relevant memories by meaning
list_memoriesList all stored memories
Vision Analysis
ToolWhat it does
caption_videoAnalyze a video from URL (no upload needed)
caption_imageAnalyze an image from URL
Social Media Import
ToolWhat it does
import_from_urlImport from any social media URL
import_by_hashtagImport by hashtag from TikTok/YouTube/Instagram
import_by_creatorImport 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_public → import_from_url → chat_personal for insights

"Build knowledge"

You: Summarize all my meeting recordings

Agent uses list_videos → get_transcription → add_memory for key takeaways

How It Compares

Featurevideoseek-mcpTwelveLabs MCP
Persistent memory (text + video)YesNo
Social media import (15+ platforms)YesNo
Memory Augmented GenerationYesNo
Free tier100 credits/month10 hours
Multi-video Q&AYesYes
Semantic searchYesYes

Environment Variables

VariableRequiredDefaultDescription
MEMORIES_API_KEYYes—API key from memories.ai
MEMORIES_UNIQUE_IDNo"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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.