video-research-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
video-research-mcp by Galbaz1 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 21 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | MediaAI / LLM ToolsKnowledge Graph | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
video-research-mcp · Summary
MCP server providing 51 video analysis and research tools through Gemini 3.1 Pro with Weaviate integration.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
video-research-mcp · Use cases
- Analyze meeting recordings to extract action items and decisions
- Research topics with evidence-tiered findings from multiple sources
- Create explainer videos from research with TTS narration
- Build and query a knowledge graph from research outputs
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
video-research-mcp · Install
npx video-research-mcp@latest
export GEMINI_API_KEY="your-key-here"For Claude Desktop configuration:
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": ["video-research-mcp"],
"env": { "GEMINI_API_KEY": "${GEMINI_API_KEY}" }
}
}
}Requires Python >= 3.11, uv, Node.js >= 16, and a Google AI API key.
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"]
}
}
}