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Alternatives to ChatGPT Web MCP

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      Enables MCP clients to drive ChatGPT's web interface through a built-in persistent browser, requiring only a single manual login. Prompts are sent through temporary incognito chats and the captured answer text is returned as tool results, along with live model listing, login/status probing, and optional HTTP transport.
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      Enables MCP clients to launch and drive isolated browser profiles—each with its own cookies, login state, fingerprint, and proxy—so agents can navigate, click, type, extract, screenshot, evaluate JS, manage tabs and cookies, and perform waits. Profile state persists across launches, letting authenticated workflows carry over between AI sessions.
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    • A
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      Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.
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    • A
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      Enables AI agents to drive a live, persistent self-hosted Chromium session over MCP, running browser actions via Playwright/CDP, capturing page snapshots, screenshots and videos, and managing uploads and downloads in the same tabs and signed-in accounts a human user can take over at any time.
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    • A
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      quality
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      Enables AI agents and human operators to drive isolated, persistent browser profiles over MCP, including navigation, clicking, typing, extraction, screenshots, tab and cookie management, and raw CDP calls. Each profile keeps its own cookies, login state, fingerprint, and proxy, so authenticated workflows and sessions carry over between runs.
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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

    ActivitySlowing
    ResponsivenessNo issues