How to Use the CAMB.AI MCP in Cursor

Q: Can Cursor generate code based on CAMB.AI language lists?

Yes, the agent reads the live output. It can call listtargetlanguages and automatically build a dropdown component populated with real data.

Build media localization pipelines by letting Cursor test CAMB.AI MCP Server endpoints live.

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Connect CAMB.AI MCP to Cursor

Create your Vinkius account to connect CAMB.AI to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CAMB.AI with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Write audio logic with Cursor

Writing audio integration code blind leads to broken apps. Agent mode fixes this by executing the actual API calls while you type. Your editor becomes a live testing environment. Ask the interface to write a text-to-speech function. It will fire `create_tts` in the background, grab the real response format via `get_tts_result`, and write typed code that matches the actual payload.

Manage custom voice models

Hardcoding speaker IDs for voice cloning is a terrible practice. Your editor can now fetch the exact identifiers you need directly from the source. No more copy-pasting UUIDs from a web dashboard. Triggering `list_cloned_voices` pulls your custom roster into the context window. If you need a new one, the agent can test `create_voice_clone` and immediately insert the fresh ID into your configuration file.

Test the CAMB.AI MCP Server locally

Building asynchronous media pipelines gets complicated fast. Having your AI client handle the polling logic saves hours of debugging. You can focus on the core product instead of writing retry loops. Script a full localization flow where the editor calls `create_dubbing`. It then writes the exact while-loop you need by inspecting the actual JSON returned by `get_job_status`.

Setup guide

Set up CAMB.AI MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the CAMB.AI MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent CAMB.AI transactions." If the MCP tools are loaded correctly, Cursor will call the CAMB.AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "cambai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CAMB.AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about CAMB.AI MCP in Cursor

Create a .cursor/mcp.json file in your project root. Paste the server command or Vinkius URL in the configuration array and turn on Agent mode.

Yes, the agent reads the live output. It can call list_target_languages and automatically build a dropdown component populated with real data.

The agent needs the specific task ID to check progress. Make sure it stores the ID returned by the creation step before calling get_tts_status.

It always uses real data. Agent mode executes the actual endpoints to ensure your code matches the live production schema.

Only the specific text strings you ask the agent to synthesize are transmitted. The Vinkius zero-trust architecture ensures your local codebase remains private, acting purely as a conduit for the requested translation payloads.

Use it with your favorite AI tools

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