Enables AI agents to generate speech using Gemini TTS models, with tools for text-to-speech, task polling, and pricing checks
Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.
Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.
Version 0.1.1 declares 1 executable entrypoint.
npm install --save-exact @runapi.ai/gemini-tts-mcp@0.1.1npx -y -p @runapi.ai/gemini-tts-mcp@0.1.1 @runapi.ai/gemini-tts-mcp{
"mcpServers": {
"@runapi.ai/gemini-tts-mcp": {
"command": "npx",
"args": [
"-y",
"-p",
"@runapi.ai/gemini-tts-mcp@0.1.1",
"@runapi.ai/gemini-tts-mcp"
]
}
}
}| Canonical slug | runapi-gemini-tts-mcp-server-4defaf95 | Deployment | Local Only |
|---|---|---|---|
| Canonical package | npm:@runapi.ai/gemini-tts-mcp | Repository | runapi-ai/gemini-tts-mcp |
| First published | — | Latest release | — |
| Last security verification | — | Classification confidence | 90% |
| Publication | Draft | Official distribution | Not verified |
| Channel | Identifier | Current version | Versions | Source |
|---|---|---|---|---|
| npm | @runapi.ai/gemini-tts-mcp | 0.1.1 | 1 | Repository |
| Package | Version | Published / observed | Inventory | Security scan |
|---|---|---|---|---|
| npm@runapi.ai/gemini-tts-mcp | 0.1.1Current | Sep 5, 2026 | 4 toolsSucceeded · 0 resources · 0 prompts | Evidence restricted |
Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.
No public current-version evidence is available yet.
| Tool | Category | Annotations | Risk |
|---|---|---|---|
check_pricingLook up RunAPI pricing for the gemini-tts model line.Input schema{
"type": "object",
"properties": {
"model": {
"type": "string",
"enum": [
"gemini-2.5-pro-tts",
"gemini-3.1-flash-tts"
],
"description": "Model slug. Defaults to the line's primary model."
},
"action": {
"type": "string",
"enum": [
"text_to_speech"
],
"description": "Endpoint name. Defaults to the endpoint that offers the model."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — | |
get_taskFetch the current status and latest result payload for a gemini-tts task.Input schema{
"type": "object",
"properties": {
"task_id": {
"type": "string",
"description": "Task id returned when the task was created."
},
"action": {
"type": "string",
"enum": [
"text_to_speech"
],
"description": "Asynchronous endpoint the task was created on. Defaults to the line's only asynchronous endpoint."
}
},
"required": [
"task_id"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — | |
loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.Input schema{
"type": "object",
"properties": {
"force": {
"type": "boolean",
"default": false,
"description": "Re-run browser login when the current credential comes from the local config file."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — | |
text_to_speechCreate a Gemini TTS task on RunAPI (text to speech). Returns a task id, status, and output URLs.Input schema{
"type": "object",
"properties": {
"temperature": {
"type": "number",
"minimum": 0,
"maximum": 2,
"description": "Sampling temperature."
},
"scene": {
"type": "string",
"description": "Scene and recording environment."
},
"sample_context": {
"type": "string",
"description": "Overall delivery context and tone."
},
"speakers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"pace": {
"type": "string",
"enum": [
"Natural",
"Rapid Fire",
"The Drift",
"Staccato"
],
"description": "Speaker pace."
},
"style": {
"type": "string",
"enum": [
"Vocal Smile",
"Newscaster",
"Whisper",
"Empathetic",
"Promo/Hype",
"Deadpan"
],
"description": "Speaker delivery style."
},
"accent": {
"type": "string",
"enum": [
"Neutral",
"American (Gen)",
"American (Valley)",
"American (South)",
"British (RP)",
"British (Brixton)",
"Transatlantic",
"Australian"
],
"description": "Speaker accent."
},
"speaker_id": {
"type": "string",
"pattern": "^Speaker [1-9][0-9]*$",
"description": "Unique identifier in Speaker N format."
},
"voice_name": {
"type": "string",
"enum": [
"Achernar",
"Achird",
"Algenib",
"Algieba",
"Alnilam",
"Aoede",
"Autonoe",
"Callirrhoe",
"Charon",
"Despina",
"Enceladus",
"Erinome",
"Fenrir",
"Gacrux",
"Iapetus",
"Kore",
"Laomedeia",
"Leda",
"Orus",
"Puck",
"Pulcherrima",
"Rasalgethi",
"Sadachbia",
"Sadaltager",
"Schedar",
"Sulafat",
"Umbriel",
"Vindemiatrix",
"Zephyr",
"Zubenelgenubi"
],
"description": "Preset voice name."
},
"audio_profile": {
"type": "string",
"description": "Optional voice character guidance."
}
},
"required": [
"pace",
"style",
"accent",
"speaker_id",
"voice_name"
],
"additionalProperties": false
},
"minItems": 1,
"description": "Non-empty speaker configurations with unique Speaker N identifiers."
},
"dialogue_turns": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string",
"maxLength": 10000,
"description": "Spoken text, up to 10,000 characters."
},
"speaker_id": {
"type": "string",
"description": "Identifier matching a configured speakers[].speaker_id."
}
},
"required": [
"text",
"speaker_id"
],
"additionalProperties": false
},
"minItems": 1,
"description": "Non-empty ordered dialogue turns whose speaker ids reference configured speakers."
},
"callback_url": {
"type": "string",
"description": "Webhook URL for async notifications."
},
"wait": {
"type": "boolean",
"default": true,
"description": "Poll until the task reaches a terminal status."
},
"timeout_ms": {
"type": "integer",
"exclusiveMinimum": 0
},
"poll_interval_ms": {
"type": "integer",
"exclusiveMinimum": 0
},
"model": {
"type": "string",
"enum": [
"gemini-2.5-pro-tts",
"gemini-3.1-flash-tts"
],
"description": "RunAPI model slug for this model line."
}
},
"required": [
"speakers",
"dialogue_turns"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — |
| Endpoint | Transport | Authentication | Health | Observed |
|---|---|---|---|---|
| No verified remote endpoint is linked. | ||||
Install the selected package version with: npm install --save-exact @runapi.ai/gemini-tts-mcp@0.1.1
RunAPI Gemini TTS MCP Server exposed 4 tools during independent protocol observation, including check_pricing, get_task, login, text_to_speech.
The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.
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Connects MCP-compatible coding tools to RunAPI for AI image, video, music, text-to-speech, and LLM generation using 130+ models from leading providers.