A
licenseB
qualityF
maintenanceMCP server that drives chatgpt.com via web UI automation using a session token, enabling long-running tasks, deep research, and image generation.
9
70 npm
2
MIT
mcp-chatgpt
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TDQS
A3.8/5.0
Scored across 12 tools
Disambiguation4/5
The ChatGPT tools mostly map to distinct lifecycle stages, such as selecting a profile, asking a question, reloading the page, and fetching status. The main potential confusions are shell_command vs apply_patch for file operations and chatgpt_ask vs chatgpt_get_latest_response for retrieving assistant output, though the descriptions provide reasonable separation.
Naming Consistency4/5
The 10 chatgpt_* tools consistently use a readable, mostly verb-first style with a common prefix. Two tools, shell_command and apply_patch, break away from the chatgpt_ prefix and use different naming conventions, which makes the overall set slightly inconsistent.
Tool Count4/5
With 12 tools, the count is reasonable, and most tools are clearly relevant to ChatGPT Web automation. The shell_command and apply_patch pair broadens the server beyond ChatGPT-specific tasks, feeling slightly like an additional generic toolkit rather than a core part of the same domain.
Completeness4/5
The core ChatGPT Web workflow is covered well: profile selection, login/status, starting a chat, asking questions, recovering responses, listing conversations, listing models, and reloading. Obvious gaps are conversation management actions such as delete or rename, and there is no explicit tool name for select/resume a previous conversation, though this may be handled through parameters in ask or get_latest_response.
Maintenance
ActivitySlowing
ResponsivenessNo issues