Nectar-MCP
Related Servers
Alternatives to Nectar-MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables 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.188 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables 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.188 npmMIT
- AlicenseNot gradedqualityCmaintenanceFree, 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
- AlicenseAqualityDmaintenanceGenerate images, video, and audio directly in Claude Code, Cursor, Windsurf, or any MCP-compatible AI agent. 20+ models — Flux, GPT-Image-1, Imagen 4, Grok Imagine, Seedance, ElevenLabs TTS, and more. Free models work without an API key. Paid models require a Pollinations key.812 npm2MIT
- AlicenseAqualityCmaintenanceEnables 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.4MIT
- AlicenseAqualityAmaintenanceMCP server exposing NaN API media tools (image generation/editing, text-to-speech, speech-to-text, embeddings, reranking) for any MCP-compatible client.9137 npm12MIT
TDQS
Scored across 6 tools
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.
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.
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.
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.