Audrey vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
Audrey by Evilander | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 23 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsKnowledge Graph | File SystemDeveloper ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | this month | this month |
Audrey · Summary
Persistent memory engine for AI agents with MCP integration and REST API.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
Audrey · Use cases
- Preventing AI agents from repeating previous mistakes by storing and recalling failures
- Providing persistent context across sessions for AI development tools
- Acting as a memory layer for custom AI agents with preflight action checking
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
Audrey · Install
# Install via npm
npm install -g audrey
# Basic setup
npx audrey doctor
# Install for Claude Code
npx audrey install --host claude-code
# Verify installation
claude mcp listFor Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"audrey": {
"command": "npx",
"args": ["audrey", "mcp-config", "generic"]
}
}
}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.