Bring Text To Speech
to Vercel AI SDK
Learn how to connect Cartesia (Voice AI) to Vercel AI SDK and start using 20 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Cartesia (Voice AI) MCP Server?
Connect Cartesia to your AI agent to unlock high-performance voice synthesis and speech recognition. Cartesia's Sonic models provide industry-leading latency and quality for real-time applications.
What you can do
- Text-to-Speech (TTS) — Generate high-fidelity audio bytes or stream via SSE using models like Sonic 3.5 and Sonic 3.
- Speech-to-Text (STT) — Transcribe audio files into text using the Ink Whisper model with multi-language support.
- Voice Cloning — Create custom voice models from as little as 5 seconds of audio input.
- Voice Management — List, retrieve, and update voices, or use the Voice Changer to transform existing audio.
- Pronunciation Control — Manage custom pronunciation dictionaries for specialized terminology or accents.
- Agent Orchestration — List and manage AI agents and monitor call logs and usage credits.
How it works
- Subscribe to this server
- Enter your Cartesia API Key
- Start generating audio or transcribing speech from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — integrate real-time voice synthesis into applications without managing complex infrastructure.
- Content Creators — automate voiceovers and audio localization using high-quality cloned voices.
- Product Teams — build conversational AI agents that sound human and respond with sub-second latency.
Built-in capabilities (20)
Clone a voice from a 5s audio clip
Create a new pronunciation dictionary
Delete a pronunciation dictionary
Delete a voice
Generate a short-lived access token for client-side requests
Get details for a specific voice agent
Get credit usage statistics
Get details for a specific voice
Generate audio to smoothly connect two existing segments
List calls and transcripts for a specific agent
List all voice agents
List pronunciation dictionaries
List available voices
Adapt a voice to a new language/dialect
Transcribe audio file to text (Batch STT)
Generate text-to-speech audio bytes
Generate text-to-speech via Server-Sent Events
Update a pronunciation dictionary
Update voice metadata
Change voice of an audio clip while preserving intonation
Why Vercel AI SDK?
The Vercel AI SDK gives every Cartesia (Voice AI) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 20 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cartesia (Voice AI) integration everywhere
- —
Built-in streaming UI primitives let you display Cartesia (Voice AI) tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cartesia (Voice AI) in Vercel AI SDK
Cartesia (Voice AI) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cartesia (Voice AI) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cartesia (Voice AI) in Vercel AI SDK
The Cartesia (Voice AI) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 20 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Cartesia (Voice AI) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Cartesia (Voice AI) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I generate audio in different formats like MP3 or WAV?
Yes. Using the tts_bytes tool, you can specify the output_format_container as 'mp3', 'wav', or 'raw', and configure the sample rate and encoding to match your needs.
How do I transcribe an existing audio file to text?
Use the stt_batch tool. Provide the base64 encoded audio file, specify the model (e.g., 'ink-whisper'), and the language code to receive a full transcription.
Is it possible to clone a voice using this integration?
Absolutely. The clone_voice tool allows you to create a new voice model by uploading a short (approx. 5s) base64 encoded audio clip.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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