How to Use the KuaiDi100 MCP in OpenAI Agents SDK
Track and dispatch Chinese logistics directly within your OpenAI Agents SDK production workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect KuaiDi100 MCP to OpenAI Agents SDK
Create your Vinkius account to connect KuaiDi100 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 Waybills with OpenAI Agents SDK
`submit_shipping_order` generates electronic waybills directly through your agent pipelines. This MCP Server exposes tools that handle the entire dispatch cycle, generating printable labels and saving them to your database without manual steps. This tool pairs with `check_carrier_availability` to confirm which regional Chinese carriers service the target route before committing the order. You get instant validation, cutting down on failed shipping attempts and API errors during peak shopping seasons.
Real-Time Tracking and Auto-Detection
`identify_carrier` resolves tracking numbers to their respective carriers automatically. Your agent takes a raw tracking string, detects the carrier, and immediately triggers `track_package` to pull the latest shipping milestones. When dealing with complex routes, `get_map_tracking` provides visual coordinates for the package journey. This keeps your support agents updated with actual location data instead of vague status strings.
Predictive Shipping Estimates and Pricing
`query_shipping_price` calculates shipping costs across different carriers before you book. Your agent compares rates instantly, selecting the most cost-effective option based on live carrier pricing tables. To manage customer expectations, `estimate_delivery_time` calculates the arrival window. If a delay occurs, `subscribe_tracking` sets up webhook subscriptions. Using this MCP toolset prevents manual lookup delays.
Set up KuaiDi100 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 KuaiDi100 tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives KuaiDi100 tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate KuaiDi100 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="KuaiDi100 Agent",
instructions="You have access to KuaiDi100 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 KuaiDi100. 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 KuaiDi100 MCP in OpenAI Agents SDK
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