Videoseek

Name: Videoseek
Author: kennyzheng-builds

@kennyzheng-builds

Repository

About Videoseek

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Videoseek?

Videoseek is an MCP server that gives AI agents (Claude, Cursor, Windsurf) the ability to search videos by meaning, ask questions about videos, remember information persistently, import content from social media, and analyze videos on‑the‑fly. It is built for developers and power users who want to make video content searchable and queryable through natural language.

How to use Videoseek?

Sign up at memories.ai to get a free API key (100 credits/month). Clone the repository, run npm install --include=dev and npm run build, then configure your AI client (Claude Desktop, Cursor, or Claude Code) to launch the server with the node command and the MEMORIES_API_KEY environment variable set.

Key features of Videoseek

Semantic video search across your entire library
Multi‑turn video Q&A (single video or whole collection)
Persistent text and video memory (Memory Augmented Generation)
Import from TikTok, YouTube, Instagram, and 15+ platforms
On‑the‑fly video and image analysis from URL (no upload needed)
Transcription (visual scene descriptions or spoken word transcripts)

Use cases of Videoseek

Find specific moments in videos by meaning (e.g., “someone opening a gift”)
Ask questions about a video or your whole video library
Research trends on social media by importing and analyzing content
Summarize and persist knowledge from meeting recordings

FAQ from Videoseek

What does Videoseek offer that alternatives like TwelveLabs MCP do not?

Videoseek includes persistent memory (text + video), social media import from 15+ platforms, and Memory Augmented Generation. Alternatives listed do not have these features.

What are the runtime requirements for Videoseek?

The server is written in TypeScript using the MCP SDK and communicates via stdio transport. It requires Node.js and the compiled build directory.

How is data stored in Videoseek?

Videos are indexed in your private library (resource memories://videos) and text memories are stored with semantic indexing (resource memories://memories). The system maintains persistent memory that never forgets.

How do I authenticate with Videoseek?

Set the environment variable MEMORIES_API_KEY to your API key from memories.ai. Optionally, use MEMORIES_UNIQUE_ID for multi‑tenant namespace isolation.

Is there a free tier for Videoseek?

Yes, the free tier provides 100 credits per month. More credits can be obtained from the memories.ai website.

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