mcp-duckdb-memory-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-duckdb-memory-server by IzumiSy | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 57 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-duckdb-memory-server · Summary
A production-ready MCP memory server using DuckDB as backend for knowledge graph storage and retrieval.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-duckdb-memory-server · Use cases
- Building persistent memory for AI assistants
- Creating knowledge graphs for personal information management
- Enhancing chatbot capabilities with relational data storage
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
mcp-duckdb-memory-server · Install
Installation
Via Smithery
npx -y @smithery/cli install @IzumiSy/mcp-duckdb-memory-server --client claudeManual Install
Add to claude_desktop_config.json:
{
"mcpServers": {
"graph-memory": {
"command": "npx",
"args": [
"-y",
"@izumisy/mcp-duckdb-memory-server"
],
"env": {
"MEMORY_FILE_PATH": "/path/to/your/memory.data"
}
}
}
}Docker
docker build -t mcp-duckdb-graph-memory .
docker run -dit mcp-duckdb-graph-memoryfilesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.