mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp by awslabs | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 9,068 | ★ 85,748 |
| 30d uses | — | — |
| Score | 61 | 77 |
| Official | — | ✓ |
| Categories | Cloud StorageDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
mcp · Summary
AWS Labs provides a comprehensive suite of MCP servers for AWS services, enabling AI applications to access AWS documentation and resources.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp · Use cases
- AI-powered coding assistants for AWS infrastructure development
- Chat applications providing real-time AWS documentation access
- Automated cloud management workflows through AI agents
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 · Install
Installation
For macOS/Linux
pip install -e .For Windows
pip install -e .Claude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"aws-mcp": {
"command": "python",
"args": ["-m", "awslabs.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.