memento-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
memento-mcp by gannonh | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 418 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 7 mo ago | this month |
memento-mcp · Summary
Knowledge graph memory system with semantic retrieval and temporal awareness for LLMs.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
memento-mcp · Use cases
- Building persistent memory for AI assistants to remember user preferences and context
- Creating knowledge bases that evolve over time with confidence tracking
- Implementing semantic search capabilities for LLM applications
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
memento-mcp · Install
Installation
Prerequisites
- Neo4j 5.13+
Setup Options
Neo4j Desktop Setup (Recommended)
- Download and install Neo4j Desktop
- Create a new project
- Add a new database
- Set password to
memento_password - Start the database
Docker Setup
docker-compose up -d neo4jMCP Configuration
Add to Claude Desktop config:
{
"mcpServers": {
"memento": {
"command": "npx",
"args": ["-y", "@gannonh/memento-mcp"]
}
}
}filesystem · 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.