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Vinkius

Coqui TTS (Open Source Speech Studio API) Connector for AI agents.

2 live capabilities

Generate high-quality voiceovers from text using your own Coqui Speech Studio setup.

Live agent request Coqui TTS (Open Source Speech Studio API) / Connector

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Why people use Coqui TTS (Open Source Speech Studio API)

Coqui TTS for High-Quality Voice Synthesis

This Connector puts that entire process into your chat window. You just tell your agent to speak this, and it handles the request to your Coqui instance. You get the result in seconds without ever touching a file path or a command line.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct line from your chat interface to your custom voice synthesis engine.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Rapid Video Scripting

    A creator asks the agent to read the first three paragraphs of a script and gets the audio back immediately to check the pacing.

  2. Real-world use case 02

    App Prototyping

    A developer tells the agent to generate a greeting using the multilingual model to test a new UI flow for a voice-enabled app.

  3. Real-world use case 03

    Model Consistency Testing

    A researcher asks the agent to synthesize ten lines of text to compare model consistency across different voices.

Complete set · 2capabilities

The complete Coqui TTS (Open Source Speech Studio API) capability set.

These are the exact actions your AI can choose when you ask it to work with Coqui TTS (Open Source Speech Studio API).

Capability set01 / 01

01—02

2 capabilities in this set.

Part of 2 available through Coqui TTS (Open Source Speech Studio API).

  1. 01 Capability

    List models

    See every text-to-speech model currently active on your Coqui instance. It helps you pick the right voice for the job.

  2. 02 Capability

    Synthesize speech

    Convert a string of text into a spoken audio file. It returns the metadata you need to find and play the result.

Set up in minutes

One URL. Then ask Coqui TTS (Open Source Speech Studio API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Coqui TTS (Open Source Speech Studio API) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_mTxT2sdkPwqJs70KzThY3INSs9q7xXUbt1OMt9EN/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Coqui TTS (Open Source Speech Studio API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Coqui TTS (Open Source Speech Studio API) for the conversation.

Where the request belongs

Work Coqui TTS can move forward.

Built around the request

This is for the developer who's tired of manual audio exports and the content creator who needs to churn out dozens of voiceovers without losing their momentum.

01

Voice App Developer

Testing how different TTS models sound for a new product on a Tuesday afternoon.

02

Content Creator

Generating quick audio snippets for social media clips without leaving the editor.

03

AI Researcher

Comparing the output quality of various open-source models through an agent interface.

Bring your own AI

Change the model, client or framework. Keep Coqui TTS connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Coqui TTS.

The practical details behind the request, access and result.

Does the Coqui TTS MCP provide the voices?

No, this Connector connects to your own Coqui instance. You need to have your models hosted locally or in the cloud for the agent to access them.

Can I use this for real-time speech?

This is best for generating high-quality audio files and metadata. It's designed for workflows where you need to create specific voiceovers from text.

Do I need to host my own Coqui instance?

Yes, you need a Coqui Speech Studio API URL. This Connector acts as a bridge between your AI agent and your existing synthesis setup.

What kind of models can I use?

You can use any models that your Coqui instance supports, including various open-source models for different languages and styles.

Can I use this in Cursor or Claude?

Yes, this works with any MCP-compatible client, including Claude, Cursor, and Windsurf, allowing you to generate audio from your favorite editor.

Is there a limit on how much text I can synthesize?

The limits are determined by your own Coqui instance. You can generate anything from single sentences to longer script segments.

How can I check which voice models are currently installed on my server?

You can use the list_models capability. Your agent will query the Coqui server and return a list of all available TTS models ready for synthesis.

Is it possible to generate audio files from a text string directly?

Yes! Use the synthesize_speech capability by providing the text you want to convert. The agent will process it through Coqui and return the audio metadata.

What do I need to provide to connect my local Coqui instance?

You only need to provide the COQUI_SERVER_URL. This is the base address where your Coqui Speech Studio API is reachable (e.g., http://localhost:5002).

One connection away

Give your agent a direct line to Coqui TTS.

Connect Coqui TTS once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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