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    • A
      license
      Not graded
      quality
      A
      maintenance
      A local MCP server that lets AI agents and human operators drive isolated Chromium profiles with their own cookies, fingerprints, and proxies, exposing tools for navigation, clicking, typing, extraction, screenshots, JavaScript evaluation, tabs, cookies, and waits. Because session and login state persist per profile, agents can carry out real authenticated workflows across sessions.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      A high-performance browser automation MCP server that provides AI agents with a fast, persistent Chromium instance via Playwright. It features reference-based element interaction, snapshot diffing, and manual handoff capabilities to handle complex tasks like CAPTCHAs.
      61
      22 npm
      32
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Policy-gated MCP server for local-first browser automation, enabling agents to drive isolated Chromium sessions via snapshots, revision-bound refs, typed actuation, scripts, and telemetry receipts.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that exposes browser-drive tools over a local endpoint, letting AI agents launch and control isolated browser profiles with their own cookies, fingerprints, and proxies, then navigate, click, type, extract, screenshot, evaluate JS, and manage tabs and cookies. Session state persists across launches so authenticated workflows carry over between AI sessions.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      A zero-dependency MCP server that drives a real Chrome browser through a companion extension, enabling AI agents to automate real user sessions with trusted input events, compact accessibility-tree snapshots, and 14 tools for navigation, interaction, scripting, and inspection.
      374 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that lets AI agents drive the locally installed Chrome or Edge, opening pages, taking compact accessibility-tree snapshots with @e references, and clicking, typing, scrolling, or capturing screenshots. It also exposes multi-account and cross-channel tab switching, tab sync rules, and ad-block/perf statistics.
      MIT

    TDQS

    B3.3/5.0

    Scored across 30 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, and the descriptions actively disambiguate the risky pairs (fill vs type, snapshot vs markdown vs extract vs evaluate, click target modes). The main residual overlap is among the several read/extract tools, where an agent must reason about which output format fits, but the guidance is explicit enough to make a correct choice.

    Naming Consistency3/5

    All names are single lowercase words with no camelCase/snake_case mixing, which is readable and predictable in style. However, the set mixes action verbs (navigate, click, fill, evaluate) with bare nouns that bundle multiple operations (tabs, cookies, storage, memory, network, perf), so there is no single verb_noun convention to extrapolate from.

    Tool Count3/5

    At 30 tools this is on the heavy side, and some consolidation is plausible (back/forward/reload could be one history tool; cookies/storage partially overlap, as do screenshot/pdf/snapshot). Still, the surface is a full browser automation stack with stealth, perf, network, and memory subsystems, so nearly every tool maps to a real capability rather than padding.

    Completeness4/5

    Coverage is broad: navigation, interaction, extraction, media capture, session persistence, diagnostics, stealth checks, and workflow memory are all present, so there are few dead ends. Gaps are minor but real — no dialog/alert handling, no iframe/frame-scoped operations, and no drag-and-drop or multi-select gesture support.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data