Melisai, developed by Dmitriimaksimovdevelop, is a free Model Context Protocol (MCP) server tool built with Go 1.23+. It operates as a single Go binary, connecting to Linux systems to perform performance diagnostics. Melisai uses eBPF/BCC tools for deep system analysis, enabling AI agents to interactively diagnose server performance issues. It functions as an MCP server, an open protocol by Anthropic for connecting AI applications to external systems. This tool aids system administrators, DevOps engineers, and AI agents in maintaining system health and troubleshooting.

What does Melisai connect to?

Melisai connects to Linux systems to conduct performance diagnostics. It acts as a Model Context Protocol (MCP) server, allowing AI agents to interact with external systems for server performance diagnosis. The tool uses eBPF/BCC tools for its diagnostic capabilities. Melisai supports the stdio transport protocol, making it compatible with AI clients like Claude and Cursor. Its primary function is to gather and interpret system performance data from target Linux environments.

Core features and tools

Melisai exposes several callable tools as an MCP server. get_health provides a quick 0-100 score and identifies anomalies using Tier 1 data. collect_metrics performs a full profile with BCC/eBPF tools, accepting arguments such as profile, focus, and pid. explain_anomaly offers root causes and recommendations for a given anomaly ID. Lastly, list_anomalies presents all 37 anomaly metric IDs along with their descriptions, guiding users through potential system issues.

Who is it for?

Melisai targets system administrators, DevOps engineers, and AI agents who need to diagnose Linux server performance. It is designed for situations where system issues are suspected or when validating system health is necessary. The tool helps in understanding performance bottlenecks and receiving actionable recommendations. This is not the right fit if you require an internal authentication model directly within the MCP server.

How to get started

No credentials are required for Melisai's internal MCP server functionality. Access control relies on the underlying system's authentication, such as SSH, which executes the Melisai binary on a target server using the stdio transport protocol.

Use cases

• Interactive AI-powered system diagnosis where an AI agent diagnoses performance issues on a Linux server.
• Obtaining a quick health score and detecting critical anomalies on a Linux server.
• Performing detailed performance profiling with BCC/eBPF tools to receive root causes and sysctl recommendations for identified anomalies.

Melisai is a diagnostic tool for Linux systems, enabling AI agents and engineers to identify and resolve performance issues. Its Go-based single binary architecture and eBPF/BCC integration provide deep system insights. The MCP server with its specific diagnostic tools offers a structured approach to performance analysis. It integrates with existing SSH authentication for secure remote execution. Try obtaining a quick health score and detecting critical anomalies on a Linux server using the get_health tool.