sample-agentic-ai-demos vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
sample-agentic-ai-demos by aws-samples | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 101 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsOps & InfraDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 3 mo ago | this month |
sample-agentic-ai-demos · Summary
AWS collection of MCP examples demonstrating client-server interactions with AWS services.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
sample-agentic-ai-demos · Use cases
- Building MCP servers on AWS infrastructure (ECS) for production deployments
- Creating MCP clients that interact with AWS Bedrock for agentic AI applications
- Implementing RAG systems using MCP to manage external data sources
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
sample-agentic-ai-demos · Install
These examples have varying installation requirements based on the specific module. Generally, they require:
- AWS account with necessary permissions
- Docker (for containerized examples)
- Python 3.7+ or Java/Kotlin for respective modules
For Claude Desktop integration, you would add to config.json:
{
"mcpServers": {
"aws-mcp-demo": {
"command": "python",
"args": ["path/to/mcp/server.py"]
}
}
}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.