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.
@kennyzheng-builds
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"videoseek": {
"command": "node",
"args": [
"/path/to/videoseek-mcp/build/index.js"
],
"env": {
"MEMORIES_API_KEY": "your-api-key-here"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
Videoseek includes persistent memory (text + video), social media import from 15+ platforms, and Memory Augmented Generation. Alternatives listed do not have these features.
The server is written in TypeScript using the MCP SDK and communicates via stdio transport. It requires Node.js and the compiled build directory.
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.
Set the environment variable `MEMORIES_API_KEY` to your API key from memories.ai. Optionally, use `MEMORIES_UNIQUE_ID` for multi‑tenant namespace isolation.
Yes, the free tier provides 100 credits per month. More credits can be obtained from the memories.ai website.
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