Skip to main content
Glama
Sign In
zvex

zvex

by erzat1986
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to zvex

No user-submitted related servers found.

    Related Servers

    • VocaLingo MCP Server

      umakhanpro
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to transcribe and summarize videos and voice messages, translate speech while keeping the speaker's voice, read text aloud in a cloned voice, and produce subtitles, lip-synced dubbing, voice changes, and translated images from links, uploads, or local files. It also handles media downloading and job/account status, with paid operations priced and confirmed before they run.
      MIT

    • video-replication-mcp

      GELOWU
      -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI assistants to create video replicas by providing a product image and a reference video, with status tracking and credit management.
      -

    • Video Intelligence MCP

      DugboTek
      A
      license
      A
      quality
      D
      maintenance
      Enables AI clients like Codex, Claude Code, and Kimi Code to analyze public video URLs by downloading media, uploading it to Gemini, and returning timestamped production breakdowns covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A and session management tools.
      5
      13 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: cost estimation, job submission, status polling, and blocking wait. There is no overlap or ambiguity; an agent can easily select the right tool for each step of the workflow.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (estimate_cost, submit_dubbing_job, get_job_status, wait_for_job). The naming is uniform and predictable, making the API easy to learn and use.

    Tool Count5/5

    With 4 tools, the server is well-scoped for a dubbing service. Each tool covers a necessary step: cost estimation, job submission, status checking, and a convenience wait method. There are no redundant or missing tools that would bloat or underrepresent the functionality.

    Completeness4/5

    The core dubbing lifecycle is covered: estimate cost, submit job, poll status, and retrieve output. A minor gap is the lack of a cancel operation (though status mentions 'cancelled'), but it is not a critical dead end. The workflow is fully functional without it.

    Maintenance

    ActivitySlowing
    ResponsivenessOutdated data

    Resources