Bring Text To Speech
to Cursor
Learn how to connect Cartesia (Voice AI) to Cursor 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 Cursor?
Cursor's Agent mode turns Cartesia (Voice AI) into an in-editor superpower. Ask Cursor to generate code using live data from Cartesia (Voice AI) and it fetches, processes, and writes. all in a single agentic loop. 20 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Cartesia (Voice AI) in Cursor
Cartesia (Voice AI) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cartesia (Voice AI) to Cursor 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 Cursor
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 Cursor 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 Cursor
Every tool call from Cursor 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.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
Can Cursor use MCP tools in inline edits?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.
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