A
licenseNot graded
qualityD
maintenanceEnables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.
72 npm
MIT
ChatGPT Web MCP
by dinhthangqt
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TDQS
B3.4/5.0
Scored across 33 tools
Disambiguation3/5
Most tools are clearly paired as list/select or action/status, but there is meaningful overlap among status-oriented tools like chatgpt_status, chatgpt_capabilities, and chatgpt_browser_lifecycle, and among sending paths like chatgpt_submit_prompt, chatgpt_send_message, and chatgpt_route_new_chat. The descriptions help clarify intended usage, but agents could still easily select the wrong variant in those cases.
Naming Consistency4/5
The consistent chatgpt_ prefix and the dominant list_/select_/create_/get_ verb pattern make the set predictable. A few name-style deviations such as chatgpt_status, chatgpt_capabilities, chatgpt_answer_tier_status, and chatgpt_project_instructions are noun-like rather than verb-led, but they are minor and still readable.
Tool Count2/5
With 33 tools, the server exceeds the 25+ threshold and feels over-scoped. The count is inflated by multiple overlapping status checkers and several high-level combined variants that duplicate lower-level send/new-chat flows, making the surface heavier than necessary for its apparent purpose.
Completeness4/5
The core ChatGPT workflows are well covered: sending messages, reading responses, managing history, selecting modes/models/thinking levels, and working with projects. Notable gaps are the lack of delete/rename operations for conversations and projects, and no way to retrieve a full conversation transcript beyond the latest response, but these are workable gaps rather than fatal dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues