A
licenseA
qualityC
maintenanceMulti-provider media generation MCP server that generates images, videos, audio, and transcriptions from text prompts using OpenAI, xAI, Gemini, ElevenLabs, and BFL through a single unified interface.
6
40 npm
1
MIT
nan-mcp-server
by luciferfran
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TDQS
A4.5/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct capability: image generation, image editing, TTS, STT, embedding, reranking, and listing models/voices. The two image tools are explicitly differentiated by starting point, and the TTS/STT pair is clearly opposite. No ambiguity.
Naming Consistency5/5
All tool names use lowercase snake_case and follow a verb_noun pattern (generate_image, list_voices, embed_text, rerank_documents, edit_image) or clear compound actions (text_to_speech, speech_to_text). The style is uniform and predictable.
Tool Count5/5
With 8 tools, the server covers a broad but focused set of AI capabilities—image, audio, and text embeddings/reranking—without excess. Each tool has a clear purpose and the count is well within the ideal 3-15 range.
Completeness5/5
The tool surface covers the core lifecycle for the intended AI operations: generation and editing for images, synthesis and transcription for audio, and embedding plus reranking for RAG pipelines. No obvious missing operations for the stated domain.
Maintenance
ActivityMaintained
ResponsivenessNo issues