How to Use the Caiyun AI Translate / 彩云小译 MCP in Mastra AI
Automate complex translation workflows in Mastra AI with conditional logic and error handling.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Caiyun AI Translate / 彩云小译 MCP to Mastra AI
Create your Vinkius account to connect Caiyun AI Translate / 彩云小译 to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Mastra AI agent translation sequences
Build multi-step agents that use `translate_multiple_lines` to process large documents. You define the workflow steps, and the agent handles the execution sequence. If a specific block fails, your Mastra AI workflow can trigger a retry loop. You keep the logic robust without writing manual error handlers for every single translation call.
Selective translation tools for Mastra AI
Expose only the tools you need, like `translate_ja_to_zh` or `translate_ko_to_zh`, to your agents. You keep the agent's focus sharp by limiting its available function space. This prevents the agent from making incorrect translation choices during complex tasks. You map the specific tool to the agent's current objective for better results.
Integrated translation status checks in Mastra AI
Add a `check_caiyun_status` step to your agent's pre-flight routine. It confirms the translation engine is healthy before the agent attempts to process high-priority tasks. Your Mastra AI workflow can halt execution if the service is unavailable. You avoid wasting compute cycles on failed translation attempts during automated runs.
Set up Caiyun AI Translate / 彩云小译 MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Caiyun AI Translate / 彩云小译 tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "caiyun-ai-translate-mcp-client",
servers: {
"caiyun-ai-translate-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Caiyun AI Translate / 彩云小译 Agent",
model: openai("gpt-4o"),
instructions: "You have access to Caiyun AI Translate / 彩云小译 tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Caiyun AI Translate / 彩云小译 transactions"
);
console.log(result.text); 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 Mastra AI
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