A Java implementation of the GitHub MCP (Model Context Protocol) Server using Spring AI. This server provides MCP-compatible tools for interacting with the GitHub API.
MCP server for profiling Java applications via JDK utilities (jcmd, jfr, jps). Enables AI assistants to diagnose performance, analyze threads, and inspect JFR recordings without manual CLI usage.
A Model Context Protocol server that connects AI agents to live Java processes via Alibaba Arthas, enabling real-time diagnostics, debugging, and performance analysis without code changes.
Live .NET runtime diagnostics for AI assistants. Ask Claude to diagnose memory leaks, GC pressure, LOH fragmentation, and thread starvation in any running .NET process — no code changes required.
Сonnects to live JVMs via JDWP protocol,
enabling LLM agents to autonomously debug Java applications — attach to
a running process, pause threads, set breakpoints (including conditional),
inspect stacks with auto-resolved object fields, evaluate methods, set
variable values, and diagnose issues like deadlocks and hung queries.
Provides production insights and code analysis by leveraging Nexus instrumentation data to identify CPU-intensive methods and visualize execution flow trees. It enables developers to make data-driven decisions through real-time performance metrics and automated service discovery from Java class names.