filesystem vs mcp-memory
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | mcp-memory by Puliczek | |
|---|---|---|
| Stars | ★ 85,748 | ★ 143 |
| 30d uses | — | — |
| Score | 77 | 42 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsKnowledge Graph |
| Language | TypeScript | HTML |
| Last commit | this month | 13 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-memory · Summary
MCP Memory server that enables cross-conversation user memory using vector search technology on Cloudflare infrastructure.
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-memory · Use cases
- Personalizing AI assistant responses based on user preferences and history
- Building long-term contextual awareness for chat applications
- Creating knowledge bases that persist across multiple sessions
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.
mcp-memory · Install
Installation Options
Option 1: One-Click Deploy
Click the deploy button and choose:
- Dimensions: 1024
- Metric: cosine
Option 2: Using the Template
- Click 'Use this template' button
- Clone the new repository
- Follow setup instructions
Option 3: Cloudflare CLI
npm create cloudflare@latest --git https://github.com/puliczek/mcp-memorySetup (Options 2 & 3)
- Install dependencies:
npm install- Create Vectorize index:
npx wrangler vectorize create mcp-memory-vectorize --dimensions 1024 --metric cosine- Run locally:
npm run dev- Deploy:
npm run deployClaude Desktop Configuration
Add to Claude Desktop config.json:
{
"mcpServers": {
"mcp-memory": {
"command": "npx",
"args": ["@puliczek/mcp-memory"]
}
}
}