How to Use the Kingdee / 金蝶 MCP in Mastra AI
Build reliable multi-step ERP workflows with Mastra AI and the Kingdee / 金蝶 integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kingdee / 金蝶 MCP to Mastra AI
Create your Vinkius account to connect Kingdee / 金蝶 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.
Automated multi-step form approvals
The `save_form` tool kicks off your Mastra workflows by creating draft material forms based on incoming purchase requests. The Mastra engine then sequentially calls `submit_form` and `audit_form` to process the document through your organization's hierarchy. If the initial API call fails, Mastra's built-in retry mechanism pauses and retries with exponential backoff. This prevents partial state errors where a form is saved but never submitted to the ledger.
Conditional ERP routing via Mastra AI
The `get_org_info` tool retrieves your current organizational metadata to route approval forms dynamically. Your Mastra agents use this metadata to determine which managers need to sign off on specific material requests. You can write simple TypeScript logic to branch your workflows. For example, if a purchase order exceeds five thousand dollars, the agent triggers `status_convert` to hold the form until a human administrator approves it.
Safer rollbacks for audited forms
The `un_audit_form` tool lets your workflow engine automatically revoke approvals when validation checks fail downstream. If a subsequent inventory check returns an error, the agent uses this tool to roll back the document status safely. This automated rollback pattern prevents compliance issues and keeps your ERP history clean. This MCP Server handles the complex state transitions so your agents don't have to write custom database queries.
Set up Kingdee / 金蝶 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 Kingdee / 金蝶 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: "kingdee-mcp-client",
servers: {
"kingdee-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Kingdee / 金蝶 Agent",
model: openai("gpt-4o"),
instructions: "You have access to Kingdee / 金蝶 tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Kingdee / 金蝶 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 Kingdee / 金蝶. 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 Kingdee / 金蝶 MCP in Mastra AI
Use it with your favorite AI tools
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Start using the Kingdee / 金蝶 MCP today
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