mcptube vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcptube by 0xchamin | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 104 | ★ 85,748 |
| 30d uses | — | — |
| Score | 47 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaKnowledge Graph | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
mcptube · Summary
MCP server that transforms YouTube videos into a persistent knowledge base with transcripts, vision analysis, and agentic search.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcptube · Use cases
- Researching topics across multiple educational YouTube videos
- Building a personal knowledge base from tutorial content
- Enhancing AI assistants with video-specific context
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mcptube · Install
pip install mcptubeFor MCP server setup in Claude Desktop:
{
"mcpServers": {
"mcptube": {
"command": "python",
"args": ["-m", "mcptube.mcp_server"],
"env": {}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}