ingero vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
ingero by ingero-io | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 81 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | MonitoringDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | C | TypeScript |
| Last commit | this month | this month |
ingero · Summary
Ingero is an eBPF-based GPU observability tool that exposes diagnostic capabilities through MCP for AI assistants.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
ingero · Use cases
- AI assistants diagnosing GPU performance bottlenecks in ML training
- Correlating CPU events with GPU stalls for root cause analysis
- Automated incident investigation for distributed GPU workloads
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
ingero · Install
Binary Install (recommended)
VERSION=0.16.0
curl -fsSL "https://github.com/ingero-io/ingero/releases/download/v${VERSION}/ingero_${VERSION}_linux_amd64.tar.gz" | tar xz
sudo mv ingero /usr/local/bin/Start MCP server
ingero mcpClaude Desktop Integration
Add to claude_desktop_config.json:
{
"mcpServers": {
"ingero": {
"command": "ingero",
"args": ["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.