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Related Servers

Alternatives to Nectar-MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible clients to generate images and videos, synthesize text-to-speech audio, and clone or design custom voices. It also supports flexible output handling (URLs or local files) and multiple transport modes including stdio, REST, and SSE.
      493 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible clients such as Claude Desktop and Cursor to generate images and videos, synthesize speech, clone voices, and design custom voices from descriptive prompts. It supports stdio, REST, and SSE transport modes with configurable API hosts, keys, and local or URL-based resource output.
      493 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Free, keyless image generation MCP server that lets AI agents create images from text prompts via Pollinations/Flux. Supports multiple aspect ratios and returns local image file paths.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP-capable chats and agents to generate images, video, and audio through OpenAI, Google Gemini, fal.ai, and Cloudflare Workers AI, optionally routed via Cloudflare AI Gateway. Supports image editing, asynchronous video jobs, and text-to-speech with per-request provider and model overrides, and can run over stdio or streamable HTTP.
      4
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      This server enables clients to add illustrative images to AI responses by exposing an image generation and editing service over MCP stdio. It returns Markdown images along with locally hosted HTTP URLs, allowing clients to render the generated illustrations directly.
      21 npm
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    TDQS

    A4.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: generate new images vs edit existing ones vs generate videos vs list/fetch model metadata vs check account balance. The descriptions explicitly cross-reference when to use each, eliminating ambiguity.

    Naming Consistency5/5

    All tools follow a consistent pollinations_<verb>_<noun> pattern with snake_case: generate_image, edit_image, generate_video, list_models, get_model_details, check_balance. No mixing of conventions or vague verbs.

    Tool Count5/5

    Six tools is well-scoped for a media generation API, covering the core actions (image gen/edit, video gen) plus necessary supporting utilities (model discovery and account balance). No bloat or unnecessary duplication.

    Completeness5/5

    The surface covers all primary workflows: image generation, image editing, video generation (including image-to-video via reference frames), model discovery and details, and balance checking. There are no obvious dead ends or missing critical operations for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessLimited data