How to Use the Caiyun AI Translate / 彩云小译 MCP in Windsurf

Use Caiyun AI Translate / 彩云小译 within Windsurf to turn foreign text into readable Chinese or English in seconds.

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Connect Caiyun AI Translate / 彩云小译 MCP to Windsurf

Create your Vinkius account to connect Caiyun AI Translate / 彩云小译 to Windsurf 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 Caiyun AI Translate / 彩云小译 with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Windsurf handles complex translation sequences

Cascade reads your open files and triggers `translate_multiple_lines` to process entire documents without manual copy-pasting. It grabs the text, sends it to the engine, and drops the translation back into your editor buffer. This MCP Server keeps your context intact while Cascade executes the logic. You just tell it to translate a specific file and watch the agent pipe the results through the translation tools directly.

Automated language detection for your workflow

When you hit a file with mixed scripts, Cascade runs `detect_language_via_auto` to identify the source before choosing the right tool. It avoids the guesswork of manual identification. You get accurate output every time because the agent relies on the specific `translate_en_to_zh` or `translate_zh_to_en` functions based on that initial scan. It saves you from checking source languages yourself.

Quick API connectivity checks

Before you start a big job, run `check_caiyun_status` to make sure your Windsurf connection is live. It takes one click to verify the link. Never wonder why a translation failed. If the service is down, you know instantly and can pivot your plan without wasting time on dead requests.

Setup guide

Set up Caiyun AI Translate / 彩云小译 MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Caiyun AI Translate / 彩云小译 MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Caiyun AI Translate / 彩云小译 payment history." If connected, Cascade will call the Caiyun AI Translate / 彩云小译 tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "caiyun-ai-translate-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 Caiyun AI Translate / 彩云小译. 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.

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Common questions about Caiyun AI Translate / 彩云小译 MCP in Windsurf

Open your Windsurf settings and locate the Cascade section. You can drop the server configuration into the JSON file or use the built-in marketplace to hook it up.

Yes, every tool from this MCP Server is available to Cascade. You can call specific functions like `translate_ja_to_zh` directly through your chat prompt.

It translates any text you feed it. Simply point the agent at your comment blocks and ask it to run the translation functions to update your documentation.

Cascade excels at this. You can chain multiple translation calls to handle large projects without breaking your flow.

Your text is sent to the translation engine to perform the conversion. We treat your input as transient data and do not store logs of your translated content.

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