How to Use the Kingdee / 金蝶 MCP in OpenAI Agents SDK
Connect your OpenAI Agents SDK to Kingdee / 金蝶 to automate ERP form lifecycles with built-in guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kingdee / 金蝶 MCP to OpenAI Agents SDK
Create your Vinkius account to connect Kingdee / 金蝶 to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate form lifecycles in OpenAI Agents SDK
Your agent handles the entire document flow without manual input. It creates new records using `save_form` and pushes them through the pipeline with `submit_form`. Everything happens inside your production agent logic. You define the sequence, and the server executes the state transitions via `status_convert` and `audit_form`.
Real-time organization data for OpenAI Agents SDK
Get immediate access to your company structure. The `get_org_info` tool pulls metadata directly into your agent's context window. This data informs your agent's decisions. It checks hierarchy and permissions before it ever touches `query_data` or modifies existing records.
Strict audit trails for OpenAI Agents SDK
Maintain compliance with every transaction. Use `view_form` to pull current state and `un_audit_form` if you need to revoke an approval. You keep a clean record. Your agent logs every `list_forms` call, ensuring you see exactly what changed and when.
Set up Kingdee / 金蝶 MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Kingdee / 金蝶 tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Kingdee / 金蝶 tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Kingdee / 金蝶 tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Kingdee / 金蝶 Agent",
instructions="You have access to Kingdee / 金蝶 tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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