mcp server
tts
Hosted pay-per-use TTS: 54 neural voices, 9 languages incl. Brazilian Portuguese. $10 free credits.
Description as published by the maintainer. Source
- version 1.0.0
- active
- voice
active — Most recent push to the repository was 2026-08-03. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
check_tts_service- Check health status of the TTS API service. Returns: dict with keys: - status (str): 'healthy' or error state
list_voices(language)- List available TTS voices with metadata. 54 neural voices across 9 languages. Each voice has an ID (used in synthesize_speech), display name, gender, accent and quality grade. Args: language: Optional language filter (e.g. 'pt-br', 'en-us'). Returns: dict with keys: - voices (list): Each with id, name, gender, accent, lang, grade - count (int): Number of voices returned
synthesize_speech(text, speed, voice, language, output_format)- Convert text to natural-sounding speech. Returns WAV audio (16-bit PCM, 24 kHz mono) synthesized with neural voices. 54 voices across 9 languages -- including 3 native Brazilian Portuguese voices (pf_dora, pm_alex, pm_santa). Usage is metered per character. Args: text: Text to convert to speech (max 5000 characters per request). language: Language code; selects the default voice when no voice is given. voice: Explicit voice ID (see list_voices). Overrides language. speed: Speech speed multiplier, 0.5-2.0. output_format: 'audio' for playable MCP audio content, 'base64_json' for a JSON object with the base64-encoded WAV and metadata. Returns: MCP audio content (audio/wav), or when output_format='base64_json' a dict with keys: - audio_base64 (str): Base64-encoded WAV bytes - mime_type (str): 'audio/wav' - voice (str): Voice used - characters (int): Characters billed - estimated_cost_usd (float): Estimated cost of this request Required: text.
Last successful function declaration observed on . Source: https://api.brainiall.com/mcp/tts/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://api.brainiall.com/mcp/tts/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 10 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-10 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-10 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | api.brainiall.com | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | api.brainiall.com |
Where to get it
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These share tags the maintainers applied themselves, such as speech-synthesis, text-to-speech, tts, pt-br. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, cline, cline-mcp, mcp, model-context-protocol, multilingual, portuguese, pt-br, rust, rust-lang, speech-synthesis, streamable-http, text-to-speech, tts, tts-benchmark, wav.
This record as data
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GET /api/v1/entries/mcp_server.json