How to Use the Chuanyun MCP in Mastra AI

Q: How do I initialize Chuanyun in Mastra AI?

Install @mastra/mcp and instantiate new MCPClient(). Pass the Vinkius endpoint in the servers object, then call mcpClient.listTools() to spread them into your agent configuration.

Q: Can Mastra AI handle failed Chuanyun record updates?

The framework catches failures from updatebizobject automatically. You configure the retry logic, and the agent attempts the update again using exponential backoff.

Q: How do I list Chuanyun users with Mastra AI?

Your workflow calls the listusers tool during execution. It parses the employee directory and uses that data to assign tasks or route approval requests.

Q: Does Mastra AI support human-in-the-loop for Chuanyun?

You can set requireToolApproval on destructive actions like deletebizobject. The workflow pauses execution until an admin explicitly authorizes the MCP tool call.

Build resilient Chuanyun ERP workflows in Mastra AI with automatic retries and conditional branching.

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Create your Vinkius account to connect Chuanyun 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.

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Setup Chuanyun with Mastra AI

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Conditional Business Object Creation

The `create_biz_object` and `get_form_schema` tools allow Mastra AI to validate inputs before attempting database writes. Your agent checks the required fields, formats the payload, and executes the creation step. If a required field is missing, the framework catches the error and branches the logic to ask the user for missing details. The built-in engine retries the operation with exponential backoff if the network drops.

Automate Workflow Approvals

Mastra AI triggers the `list_workflows` and `get_workflow_history` tools to audit stalled ERP processes. The agent identifies bottlenecks in the approval chain and decides the next action based on your custom logic. You can configure `requireToolApproval` so a human manager signs off before the agent acts. Once cleared, the system moves the process forward through the MCP Server interface.

Safe Record Deletion Pipelines

Tools like `delete_biz_object` and `get_biz_object_details` let your TypeScript agent clean up stale enterprise data safely. The system fetches the full record context first to verify it meets deletion criteria. Multi-step workflows prevent accidental data loss. Mastra reads the object, logs the intended action, executes the delete command, and confirms the removal using the HTTP transport layer.

Setup guide

Set up Chuanyun MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All Chuanyun tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "chuanyun-mcp-client",
  servers: {
    "chuanyun-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Chuanyun Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Chuanyun tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Chuanyun transactions"
);
console.log(result.text);

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Common questions about Chuanyun MCP in Mastra AI

Install `@mastra/mcp` and instantiate `new MCPClient()`. Pass the Vinkius endpoint in the `servers` object, then call `mcpClient.listTools()` to spread them into your agent configuration.

The framework catches failures from `update_biz_object` automatically. You configure the retry logic, and the agent attempts the update again using exponential backoff.

Your workflow calls the `list_users` tool during execution. It parses the employee directory and uses that data to assign tasks or route approval requests.

You can set `requireToolApproval` on destructive actions like `delete_biz_object`. The workflow pauses execution until an admin explicitly authorizes the MCP tool call.

Form schemas, user directories, and workflow histories pass through a zero-trust architecture. Vinkius requires a single endpoint token for authentication, ensuring your TypeScript agent is the only entity accessing the ERP backend.

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