loading…
Search for a command to run...
loading…
Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.
Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.
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.
Give your AI agent (Claude, Cursor, Windsurf, etc.) the ability to:
Sign up at memories.ai and grab your key from the API keys page. Free tier includes 100 credits/month.
git clone https://github.com/kennyzheng-builds/videoseek-mcp.git
cd videoseek-mcp
npm install --include=dev
npm run build
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"
}
}
}
}
Add to .cursor/mcp.json:
{
"mcpServers": {
"videoseek": {
"command": "node",
"args": ["/path/to/videoseek-mcp/build/index.js"],
"env": {
"MEMORIES_API_KEY": "your-api-key"
}
}
}
}
export MEMORIES_API_KEY="your-api-key"
claude mcp add videoseek -- node /path/to/videoseek-mcp/build/index.js
| 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 |
| 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 |
| Tool | What it does |
|---|---|
chat_with_video |
Ask questions about specific videos (multi-turn) |
chat_personal |
Ask questions across your entire library + memories |
| Tool | What it does |
|---|---|
add_memory |
Store text with semantic indexing |
search_memories |
Find relevant memories by meaning |
list_memories |
List all stored memories |
| Tool | What it does |
|---|---|
caption_video |
Analyze a video from URL (no upload needed) |
caption_image |
Analyze an image from URL |
| 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: memories://videos (your library), memories://memories (your stored knowledge)
Prompt templates: analyze-video, social-media-research, build-knowledge-base
"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_personalfor insights
"Build knowledge"
You: Summarize all my meeting recordings
Agent uses
list_videos→get_transcription→add_memoryfor key takeaways
| 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 |
| Variable | Required | Default | Description |
|---|---|---|---|
MEMORIES_API_KEY |
Yes | — | API key from memories.ai |
MEMORIES_UNIQUE_ID |
No | "default" |
Namespace for multi-tenant isolation |
npm install --include=dev
npm run build # compile TypeScript
npm run dev # watch mode
npx @modelcontextprotocol/inspector node build/index.js # test interactively
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.
MIT
Выполни в терминале:
claude mcp add videoseek-mcp -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.