# NetTune

> Use this tool when you need to optimize network performance on Linux servers, especially for high-bandwidth or long-distance connections. NetTune solves problems of latency, throughput, and congestion control through AI-assisted configuration and provides a range of tools for baseline testing and safe configuration management. It takes input via an HTTP API with Bearer token authentication and outputs optimized network settings, making it ideal for network engineers and system administrators seeking to improve network reliability and speed.

Canonical page: https://skillsregistry.net/skills/jtsang4-nettune  
JSON: https://api.skillsregistry.net/v1/skills/jtsang4-nettune

## Description

Provides systematic network performance optimization for Linux servers through AI-assisted configuration. Offers 10 tools for baseline testing (RTT, throughput, latency under load), pre-built BBR congestion control profiles, buffer tuning, and safe configuration management with automatic snapshots and rollback. Uses a client-server architecture where the server runs with root privileges to modify kernel parameters via sysctl, while clients connect remotely via HTTP API with Bearer token authentication. Designed for network engineers and system administrators optimizing high-bandwidth or long-distance connections.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jtsang4-nettune)
- **Repository:** <https://github.com/jtsang4/nettune>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jtsang4-nettune"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jtsang4-nettune` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jtsang4-nettune/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt