tda — MCP Server by irockel

by irockel · MCP Server · ★ 545

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About tda

TDA - Thread Dump Analyzer [!IMPORTANT] 2026-05-11 - TDA 3.2 available. VisualVM Plugin: proper integration in VisualVM working again. UI: Updated jsvg version to 2.1.0. 2026-04-18 - TDA 3.1 available. VisualVM Plugin: proper integration in VisualVM working again. Logfile Parsing: Support for UTF16 files. UI: some small fixes. 2026-01-30 - TDA 3.0 is now available! 🚀 This major release brings significant enhancements: Extended MCP Server: Now with Carrier Thread Pinning detection and support for SMR (Safe Memory Relocation) parsing. Modernized UI: Completely refreshed look and feel using FlatLaf. Usability Improvements: Fixed several long-standing issues, including improved split-pane management and faster parsing. Native macOS Support: Now providing a dedicated macOS binary. Logging: Especially for troubleshooting in MCP Mode. TDA (Thread

javajvmjvm-monitormcpmcp-serverperformance-tuningthread-dumpvirtual-threads

Quick Facts

Stars545
Forks97
LanguageJava
CategoryMCP Server
LicenseLGPL-2.1
Quality Score52.06/100
Open Issues1
Last Updated2026-06-19
Created2016-03-14
Platformsjava, mcp
Est. Tokens~20k

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Frequently Asked Questions

What is tda?

tda is TDA - Thread Dump Analyzer (for Java). Analyze your Thread Dumps with a GUI or use it as MCP Server.. It is categorized as a MCP Server with 545 GitHub stars.

What programming language is tda written in?

tda is primarily written in Java. It covers topics such as java, jvm, jvm-monitor.

How do I install or use tda?

You can find installation instructions and usage details in the tda GitHub repository at github.com/irockel/tda. The project has 545 stars and 97 forks, indicating an active community.

What license does tda use?

tda is released under the LGPL-2.1 license, making it free to use and modify according to the license terms.

What are the best alternatives to tda?

The top alternatives to tda on Agent Skills Hub include jadx-ai-mcp, xiaozhi-esp32-server-java, drift. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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