devcdp
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- AlicenseCqualityDmaintenanceEnables AI assistants to connect to browser DevTools and backend debuggers for full-stack debugging, including frontend console, network, performance, and backend log analysis.1623 npm7MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to debug frontend applications by providing direct access to browser DevTools, React state, DOM inspection, and runtime debugging capabilities. Bridges the gap between AI and complex web applications for autonomous debugging and issue resolution.MIT
- AlicenseBqualityAmaintenanceEnables AI agents to debug code and automate browsers using Chrome DevTools Protocol, supporting breakpoints, variable inspection, and replayable interaction recording.35545 npm16MIT
- AlicenseNot gradedqualityDmaintenanceLets AI coding assistants control and inspect a live Chrome browser using full Chrome DevTools capabilities for browser automation, debugging, and performance analysis.1,010,088 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools for automation, debugging, and performance analysis.1,010,088 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to browse, click, and debug real websites in the user's own signed-in browser or a dedicated Chrome instance, with only explicitly shared tabs reachable and revocable at any time. Exposes the full developer toolbox — console, network, sources, debugger, elements, performance and CPU/memory profiling, storage, service workers, coverage, emulation, accessibility, security, Lighthouse, and Playwright-test recording — as first-class tools callable in one step.1,242 npm1MIT
TDQS
Scored across 73 tools
The descriptions are careful and cross-reference each other, but the sheer number of getter/snapshot tools (debugger_get_capture/state/scope, session_get_state/activity/status, devtools_status) and pairs like list_tabs/sessions_list and app_discover/ui_inspect create real selection ambiguity. Most tools are distinguishable, but an agent could easily pick the wrong one when several seem to return similar state.
The dominant pattern is domain_verb_noun in snake_case (network_get_requests, debugger_set_breakpoint, session_get_status), which is quite consistent across 73 tools. A few outliers like list_tabs, notify_user, and workflow_guide break the prefix convention, so it is not perfect.
73 tools is far beyond a workable MCP tool surface and exceeds the 50+ extreme ceiling. Even though the tools are organized into coherent domains, this count will dominate agent context and make tool selection expensive.
The set covers an unusually broad workflow: attach/detach, console, network, DOM, interaction, source/debugger, sessions, memory, discovery, docs, and settings. It only misses peripheral browser operations such as screenshots, storage/cookies, or performance tracing, which agents can work around.