hechtcarmel/jetbrains-debugger-mcp-plugin
by Various
β π - A JetBrains IDE plugin that exposes an MCP server, giving AI coding assistants full programmatic control over the debugger.
MCP
hechtcarmel/jetbrains-debugger-mcp-plugin
Added 1 June 2026
Overview
A JetBrains IDE plugin that exposes a Model Context Protocol (MCP) server. It gives AI coding assistants programmatic control over the debugger, allowing them to set breakpoints, step through code, and inspect variables.
Best for
Best for
Developers using JetBrains IDEs who want to integrate AI assistants into their debugging workflow
Use cases
- Automating breakpoint management during debugging sessions
- Controlling step execution from an AI assistant
- Inspecting variables and stack traces programmatically
How to use
Tools exposed
list_run_configurationsexecute_run_configurationlist_debug_sessionsstart_debug_sessionstop_debug_sessionget_debug_session_statuslist_breakpointsset_breakpointremove_breakpointresume_executionpause_executionstep_overstep_intostep_outrun_to_lineget_stack_traceselect_stack_framelist_threadsget_variablesset_variable
Tested with
Claude Code, Codex CLI, Gemini CLI, Cursor, Windsurf, VS Code
Example client config
{\n "mcpServers": {\n "intellij-debugger": {\n "httpUrl": "http://127.0.0.1:29190/debugger-mcp/streamable-http"\n }\n }\n} Notes
A JetBrains IDE plugin that exposes a Model Context Protocol (MCP) server. It gives AI coding assistants programmatic control over the debugger, allowing them to set breakpoints, step through code, and inspect variables.
80 stars on GitHub. Last updated 2026-05-22. Licensed MIT.
Use cases
- Automating breakpoint management during debugging sessions
- Controlling step execution from an AI assistant
- Inspecting variables and stack traces programmatically
Pros
- Enables AI assistants to interact directly with the JetBrains debugger
- Leverages the mature debugging infrastructure of JetBrains IDEs
- Open source with a Kotlin codebase for easy customization
Cons
- Requires a JetBrains IDE and an MCP-compatible AI assistant
- Limited to debugger control, not other IDE features
- Small community with 80 stars, so limited support and documentation
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables AI assistants to interact directly with the JetBrains debugger
- Leverages the mature debugging infrastructure of JetBrains IDEs
- Open source with a Kotlin codebase for easy customization
Cons
- Requires a JetBrains IDE and an MCP-compatible AI assistant
- Limited to debugger control, not other IDE features
- Small community with 80 stars, so limited support and documentation
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