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.
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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.
Yes, jdwp-mcp is completely free to use with no usage limits on the free tier.
jdwp-mcp is listed under the AI & Machine Learning category in the AgentForge MCP registry.
jdwp-mcp has a current uptime of 99.9% with an average response time of 0ms.
To connect jdwp-mcp, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of jdwp-mcp's tools via the Model Context Protocol.