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Vinkius
OpenAI Agents SDKSDK
OpenAI Agents SDK
Cartesia (Voice AI) MCP Server

Bring Text To Speech
to OpenAI Agents SDK

Learn how to connect Cartesia (Voice AI) to OpenAI Agents 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.

MCP Inspector GDPR Free for Subscribers
Clone VoiceCreate Pronunciation DictDelete Pronunciation DictDelete VoiceGenerate Access TokenGet AgentGet Usage CreditsGet VoiceInfill BytesList Agent CallsList AgentsList Pronunciation DictsList VoicesLocalize VoiceStt BatchTts BytesTts SseUpdate Pronunciation DictUpdate VoiceVoice Changer Bytes

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Cartesia (Voice AI)

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

  1. Subscribe to this server
  2. Enter your Cartesia API Key
  3. 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_voice

Clone a voice from a 5s audio clip

create_pronunciation_dict

Create a new pronunciation dictionary

delete_pronunciation_dict

Delete a pronunciation dictionary

delete_voice

Delete a voice

generate_access_token

Generate a short-lived access token for client-side requests

get_agent

Get details for a specific voice agent

get_usage_credits

Get credit usage statistics

get_voice

Get details for a specific voice

infill_bytes

Generate audio to smoothly connect two existing segments

list_agent_calls

List calls and transcripts for a specific agent

list_agents

List all voice agents

list_pronunciation_dicts

List pronunciation dictionaries

list_voices

List available voices

localize_voice

Adapt a voice to a new language/dialect

stt_batch

Transcribe audio file to text (Batch STT)

tts_bytes

Generate text-to-speech audio bytes

tts_sse

Generate text-to-speech via Server-Sent Events

update_pronunciation_dict

Update a pronunciation dictionary

update_voice

Update voice metadata

voice_changer_bytes

Change voice of an audio clip while preserving intonation

Why OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 20 tools from Cartesia (Voice AI) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cartesia (Voice AI), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • Native MCP integration via MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety

  • Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

  • Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

  • First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

O
See it in action

Cartesia (Voice AI) in OpenAI Agents SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Cartesia (Voice AI) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Cartesia (Voice AI) to OpenAI Agents 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Cartesia (Voice AI) in OpenAI Agents 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 OpenAI Agents 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.

Cartesia (Voice AI)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Cartesia (Voice AI) for OpenAI Agents SDK

Every tool call from OpenAI Agents 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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

05

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

06

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

07

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

08

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

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