Nettune by Jtsang4 is an MCP server tool designed for network diagnostics and TCP optimization on Linux servers. Developed primarily in Go and TypeScript, it offers a suite of functionalities to analyze and enhance network performance. Nettune integrates with various AI clients, enabling automated and assisted management of server network configurations. Its distribution includes Go binaries for multiple platforms and an NPM package, ensuring broad accessibility for its specialized purpose.

What does Nettune connect to?

Nettune connects directly to Linux servers to perform network diagnostics and apply TCP optimizations. It supports two primary transport protocols: stdio for local servers when running as a subprocess, and Streamable HTTP for remote servers over a network. Compatible AI clients include Claude (e.g., Claude Desktop, Claude Code), Cursor, Windsurf, GitHub Copilot, VS Code, Codex CLI, and Gemini CLI, which can interact with Nettune as an MCP server.

Core features and tools

Nettune exposes specific callable tools for network management. These include nettune.test_rtt, nettune.test_throughput, and nettune.test_latency_under_load for performance testing. For server state and configuration, it offers nettune.snapshot_server, nettune.list_profiles, nettune.show_profile, nettune.create_profile, nettune.apply_profile, nettune.rollback, and nettune.status. These tools allow for diagnostics, profile management, and configuration changes.

Who is it for?

Nettune targets users and AI assistants focused on diagnosing and optimizing TCP and network performance on Linux servers. It provides the necessary utilities for detailed network analysis and the application of various optimization profiles. Its integration with AI clients supports intelligent, automated network management workflows. Skip this if you are not focused on Linux server network performance.

How to get started

The server authenticates using an API key passed as an environment variable. It supports stdio for local servers and Streamable HTTP for remote connections.

Use cases

• AI-assisted network diagnosis and optimization, where an LLM uses Nettune tools to diagnose issues and apply changes with safety measures.
• Manual TCP optimization, allowing users to apply pre-built or custom optimization profiles (e.g., BBR, FQ, buffer tuning).
• Network performance testing, enabling measurement of RTT, throughput, and latency under load.

Nettune provides a specialized toolkit for managing and optimizing network performance on Linux servers, particularly valuable when integrated with AI assistants. Its ability to diagnose and apply TCP optimizations makes it a relevant solution for maintaining server efficiency. Start by using nettune.test_rtt to measure network latency.