How to Use the Jiandaoyun MCP in OpenAI Agents SDK
Directly manage your Jiandaoyun data using OpenAI Agents SDK. Connect your agent to your forms and records for automated operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jiandaoyun MCP to OpenAI Agents SDK
Create your Vinkius account to connect Jiandaoyun 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.
Full record lifecycle management
Control your data directly from your Python agent. Use `create_record` to push new entries or `update_record` to modify existing rows without manual input. Your agent handles the heavy lifting by calling `delete_record` when data expires. It keeps your database clean and current.
Dynamic form schema discovery
Pull field requirements on the fly with `get_form_schema`. This ensures your agent always knows exactly what data fields a form expects before it sends a payload. Stop guessing the structure of your forms. Use `list_forms` and `list_apps` to map out your workspace hierarchy in real time.
Workflow status tracking for OpenAI Agents SDK
Monitor your business processes by checking `get_workflow_status`. Your agent can now report on where a record sits in your internal pipeline. Use `list_address_book` to verify user permissions and access rights. Your agent maintains visibility across your entire organization.
Set up Jiandaoyun 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 Jiandaoyun tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Jiandaoyun tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Jiandaoyun 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="Jiandaoyun Agent",
instructions="You have access to Jiandaoyun 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 Jiandaoyun. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Jiandaoyun MCP in OpenAI Agents SDK
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