echo3s-io
OfficialRelated Servers
Alternatives to echo3s-io
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceA local MCP server that turns any text into narration, voice-overs, dialogues, audiobook chapters and per-shot video clips as MP3/WAV files — with emotions, acting modes, inline cues, presets and subtitles — driven by a ChatGPT sign-in rather than an API key. It also exposes tools for inspecting audio (timings, pace, pitch, waveform), transcribing recordings, listing and favouring voices, saving pronunciation presets, and checking sign-in status.MIT
- AlicenseNot gradedqualityAmaintenanceA text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.26 PyPIMIT
- AlicenseAqualityBmaintenanceText to speech in 149 languages: MP3 links from any assistant. Free without an account. 2,253 voices; PRO adds HD voices, WAV, dialogue with a voice per speaker, Script mode timing and transcription.747 npmMIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server that lets an AI assistant turn written text — or prose it writes itself — into narrated audiobooks with chapter-marked .m4b files, using local Kokoro voices entirely offline and free. It supports 54 voices across 9 languages, adjustable speed, voice blending, and chapter-level resumable rendering.93 PyPIMIT

AudioPod MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceProvides ten hosted audio AI tools — TTS, voice cloning, music generation, stem separation, speaker separation, transcription, denoising, media conversion, and job polling — over a single streamable-HTTP endpoint for any MCP-capable agent.MIT- AlicenseNot gradedqualityDmaintenanceTranscribe local audio/video to text + SRT/VTT with hosted Whisper large-v3, plus summaries, study notes, flashcards, document Q&A, and PDF compression. No API key required — runs via npx -y vocce-transcribe-mcp.MIT
TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose, covering different aspects of Echo3s such as comparisons, guides, success stories, overview, FAQs, getting started, pricing, social links, languages, technical specs, and use cases. No two tools appear to serve the same function.
All tools follow a consistent verb_noun pattern, with 11 using 'get_' and one using 'compare_'. The naming is uniform and predictable throughout the set.
With 12 tools, the count is well within the ideal 3-15 range for a focused product info server. Each tool earns its place by covering a specific topic without unnecessary duplication.
The tool set provides comprehensive coverage of Echo3s, including overview, getting started, pricing, technical specs, languages, use cases, comparisons, success stories, FAQs, social links, and Arabic-specific guides. No obvious gaps are present.