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    • A
      license
      A
      quality
      B
      maintenance
      Lets Claude Desktop, Claude Code, or any MCP client generate ad images and videos from chat, including batches from folders of local files, prompt lists, and pipelines. Sign-in uses an OAuth device flow with workspace-scoped, revocable tokens, and finished creatives can be saved back to your machine.
      16
      25 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Image generation for Claude Code, Claude Desktop and any MCP client, using your existing ChatGPT subscription. Drives the already-signed-in Codex desktop app over the Chrome DevTools Protocol - no API key, and no Codex agent quota. Supports iterative refinement through a reusable conversation. Windows only; requires the Codex desktop app.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to generate and manage bulk AI images locally through the app's engine, including batches, reference images, LoRAs, upscaling, and OpenAI-compatible API operations. It connects MCP clients such as Claude Code, Codex, Antigravity, and Hermes to a self-hosted Windows image-generation workflow without cloud accounts.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants such as Claude Code, Codex, and Cursor to generate images and videos through Google Flow using a local, already signed-in Chrome session. It runs as a local MCP endpoint so assistants can submit generation jobs, manage them, and receive results using your own Flow subscription credits.
      2
      MIT

    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct operation (generation, polling, cancellation, fetching from an existing chat, project selection, collection listing). The only mild overlap is between fetch_images and job_status, since fetch_images itself spawns a pollable job, but the descriptions explicitly clarify the relationship.

    Naming Consistency4/5

    Names mostly follow a verb_noun pattern (generate_image, cancel_job, fetch_images, list_projects, select_project, list_collections). job_status breaks the pattern as a noun_noun status reporter, a minor deviation that is still readable.

    Tool Count5/5

    Seven tools is well-scoped for a browser-bridge image generator: one core action, one polling tool, one cancel, one fetch, and three small configuration/listing tools. Each earns its place.

    Completeness4/5

    The lifecycle is covered: generate, poll, cancel, recover via fetch_images, plus project and collection discovery. Minor gaps remain, such as managing reference collections (adding/removing) from within the MCP rather than via Chrome right-click.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues