Skip to main content
Glama

Related Servers

Alternatives to AmzDownloader MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables any MCP client to search and submit tasks across 350+ multimodal image, video, audio, and 3D models, run ComfyUI workflows and AI apps, upload/download files, and chat with LLMs. It supports stdio MCP integration and optional scope trimming for image, video, or audio only.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to run eight data tools over stdio for product search, ad transparency, company intent, job/ATS lookup, keyword volume, domain SEO, and YouTube transcripts, returning JSON envelopes with item limits, truncation metadata, and structured errors.
      33 PyPI
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients to discover, inspect, and run 2,000+ AI models and data APIs, including search, social, scraping, image, video, and audio tools, through one browser-authorized local bridge. It also surfaces run status, recorded cost, and account balance, and supports rolling back client configuration changes.
      556,724 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server exposing the full CutPro v1 API as 34 tools for AI clients — analyze videos, submit clipping jobs, manage clips, render, and publish posts. Supports stdio, Streamable HTTP, and OAuth 2.1.
      848 npm
      2
      MIT

    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation3/5

    amz_get_scrape (poll a job) and amz_get_scrape_result (read the result, returning pending while running) have blurry boundaries that an agent could easily confuse, and amz_get_product_media overlaps with the result-reading flow. The descriptions do help distinguish cached reads from new extractions, but the three get_* extraction tools require careful reading to choose correctly.

    Naming Consistency5/5

    Every tool uses the same amz_ prefix followed by a verb_noun pattern (create_scrape, get_scrape, get_product_media, convert_video, get_usage). The only mild irregularity is the near-duplicate get_scrape / get_scrape_result pair, but the convention itself is uniform and predictable.

    Tool Count5/5

    Six tools is a tight, well-scoped surface for an extraction-and-conversion service. Each tool maps to a distinct step (submit, poll, fetch result, cached read, convert, quota) with no filler.

    Completeness4/5

    The lifecycle is largely covered: create a job, poll it, read the result, read cache, convert video, and check credits. Minor gaps exist — no way to cancel or delete a job, and no job-list operation — which agents can work around by polling known job handles.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues