debugtron-mcp

debugtron-mcp

MCP server for debugging Electron apps: discover, launch, and control apps via Chrome DevTools Protocol and Node inspector, enabling JavaScript evaluation, network/console monitoring, screenshots, profiling, and breakpoints.

Category
Visit Server

README

debugtron-mcp

An MCP server that lets AI agents debug installed Electron apps end-to-end: discover apps, launch them with debug ports, evaluate JavaScript in the main process and renderer pages, capture console/IPC/network traffic, take screenshots, simulate input, profile CPU and heap, set breakpoints, read script sources, and inspect workers.

App discovery and launch adapters are vendored from debugtron (MIT); the debugging surface (Chrome DevTools Protocol + Node inspector) is exposed as 40+ MCP tools.

Requirements

  • Node.js >= 22
  • macOS / Windows / Linux (remote Android debugging via adb is supported by the underlying adapters but currently limited to page-level CDP)

Build

yarn install
yarn build        # outputs dist/index.js (single-file ESM bundle)
yarn typecheck    # optional

Usage

Register with your MCP client over stdio. For Claude Code:

claude mcp add debugtron -- node /path/to/debugtron-mcp/dist/index.js

Or explore interactively with the MCP inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Typical agent session

  1. list_apps — discover installed Electron apps
  2. launch_app — launch one (by appId or direct exePath), get a sessionId
  3. list_pages — find renderer windows/webviews/workers (retry until they appear)
  4. evaluate_in_main / evaluate_in_renderer — run JS in either process
  5. get_console_logs / get_network_log / get_process_logs — observe behavior
  6. get_response_body / get_cookies / get_local_storage — inspect network/state
  7. screenshot / click / type / navigate — drive the UI
  8. monitor_ipc + get_ipc_log — capture IPC traffic
  9. monitor_events + get_event_log — capture lifecycle/navigation/crash events
  10. list_scripts + get_script_source — read app bundles for static analysis
  11. set_breakpoint / evaluate_on_call_frame / step_over — debug at source level
  12. get_heap_snapshot / start_cpu_profile — deep performance diagnostics
  13. list_workers / evaluate_in_worker — debug service/shared/dedicated workers
  14. stop_session — terminate the app and clean up

Tools

Sessions & discovery

Tool Description
list_apps Discover installed Electron apps (targetId?, refresh?)
launch_app Launch an app with --inspect + --remote-debugging-port (appId? or exePath?, env?, cwd?)
stop_session Close CDP connections and terminate the app (idempotent)
list_sessions List active sessions with status and ports
list_pages List renderer targets: pages, webviews, workers
get_process_logs App process stdout/stderr (works after exit)

Execution & observation

Tool Description
evaluate_in_main Run JS in the Electron main process (Node inspector)
evaluate_in_renderer Run JS in a renderer page (CDP Runtime.evaluate)
get_console_logs Console messages + uncaught exceptions from main and pages
get_network_log Network requests captured per page (includes requestId)
get_response_body Get the response body of a captured request by requestId
get_cookies Read all cookies from the browser network stack (incl HttpOnly)
get_local_storage Read localStorage or sessionStorage entries
get_app_info Electron/Chromium/Node versions, app paths, BrowserWindow list
get_process_metrics Per-process CPU% and memory (app.getAppMetrics)

Page control & DOM

Tool Description
navigate / reload Page navigation (waits for load event, non-fatal)
screenshot PNG/JPEG screenshot returned as MCP image content
get_dom_snapshot outerHTML of the document or a selector (truncatable)
query_selector Element tag/text/attributes/bounding rect by CSS selector
click / type Input simulation by selector or coordinates (unicode-safe)
get_performance_metrics Renderer metrics: JS heap, DOM nodes, layout counts

Electron-specific

Tool Description
monitor_ipc / get_ipc_log Capture IPC traffic (ipcMain send/invoke, webContents.send)
monitor_events / get_event_log Capture lifecycle events (crashes, unresponsive, navigation, window creation)

Debugging & profiling

Tool Description
list_scripts List parsed scripts (filter by URL substring)
get_script_source Read script source by scriptId (for static analysis of app.asar bundles)
set_breakpoint / remove_breakpoint / list_breakpoints Breakpoints by script URL or regex, main or renderer
pause / resume / get_paused_state Execution control and paused call-stack inspection
evaluate_on_call_frame Evaluate in a paused frame context (access local variables)
step_over / step_into / step_out Single-step execution
get_heap_snapshot V8 heap snapshot written to a .heapsnapshot file
start_cpu_profile / stop_cpu_profile CPU profile to .cpuprofile + hottest-functions summary

Workers

Tool Description
list_workers List service workers, shared workers, dedicated workers (Target domain)
evaluate_in_worker Run JS in a worker target via the flatten protocol

Heap snapshots and CPU profiles are written to files (default: system temp dir, override with filePath) and can be opened in Chrome DevTools.

Notes & limitations

  • Single-instance lock: apps using requestSingleInstanceLock (e.g. VS Code) must be fully closed before launch_app; otherwise the second instance forwards to the running one and the debug flags are dropped. The tool error message tells you when this happens.
  • Pages appear asynchronously: retry list_pages for a few seconds after launch.
  • monitor_ipc captures send messages on ipcMain at any time, but invoke handlers only if they were registered after monitoring started (Electron dispatches handle() internally, not through the emitter).
  • Breakpoints on inline scripts (e.g. inside data: URLs) don't bind; use them on real script files (file://.../app.asar/..., http(s)://...).
  • Workers are discovered via the browser-level Target domain (separate from /json). Some older Electron versions may not expose all worker types.
  • Diagnostics are written to stderr; stdout is reserved for the MCP protocol.

Acknowledgements

  • Target discovery/launch adapters (src/targets/) and the AppInfo type are vendored from debugtron by Rongjian Zhang (MIT License).

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured