KuaiDi100 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect KuaiDi100 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="KuaiDi100 Assistant",
instructions=(
"You help users interact with KuaiDi100. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from KuaiDi100"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About KuaiDi100 MCP Server
Empower your AI agent to orchestrate your logistics and supply chain operations with KuaiDi100 (快递100), the leading package tracking platform in China. By connecting KuaiDi100 to your agent, you transform complex shipment monitoring and carrier identification into a natural conversation. Your agent can instantly track packages in real-time, identify carriers from tracking numbers, subscribe to delivery updates, and even estimate shipping prices without you ever needing to navigate the comprehensive KuaiDi100 portal. Whether you are managing high-volume e-commerce fulfillment or auditing international shipments, your agent acts as a real-time logistics assistant, keeping your delivery data accurate and your customers informed.
The OpenAI Agents SDK auto-discovers all 8 tools from KuaiDi100 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries KuaiDi100, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Real-time Tracking — Retrieve current status and complete historical data for any domestic or international package.
- Carrier Identification — Automatically identify the likely carrier for a given tracking number to simplify operations.
- Update Subscriptions — Set up automated webhooks to receive real-time push notifications when a package status changes.
- Price Estimation — Retrieve estimates for shipping costs based on weight and destination across different carriers.
- Mapping & Routing — Access map-ready tracking data to visualize the physical journey of a shipment.
The KuaiDi100 MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect KuaiDi100 to OpenAI Agents SDK via MCP
Follow these steps to integrate the KuaiDi100 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from KuaiDi100
Why Use OpenAI Agents SDK with the KuaiDi100 MCP Server
OpenAI Agents SDK provides unique advantages when paired with KuaiDi100 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
KuaiDi100 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the KuaiDi100 MCP Server delivers measurable value.
Automated workflows: build agents that query KuaiDi100, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries KuaiDi100, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through KuaiDi100 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query KuaiDi100 to resolve tickets, look up records, and update statuses without human intervention
KuaiDi100 MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect KuaiDi100 to OpenAI Agents SDK via MCP:
check_carrier_availability
Check which carriers serve a route
estimate_delivery_time
Estimate delivery time between locations
get_map_tracking
Get map-based tracking data
identify_carrier
Auto-detect carrier from tracking number
query_shipping_price
Get shipping price estimate
submit_shipping_order
Generates an electronic waybill for printing. Submit a shipping order (e-waybill)
subscribe_tracking
Subscribe to tracking status updates
track_package
Some carriers (e.g., SF Express) require the recipient phone number. Track a package in real-time
Example Prompts for KuaiDi100 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with KuaiDi100 immediately.
"Track my Shunfeng package with number 'SF123456789'."
"Identify which carrier uses number 'YT1234567890'."
"Estimate the shipping cost for a 2kg package from Beijing to Shenzhen."
Troubleshooting KuaiDi100 MCP Server with OpenAI Agents SDK
Common issues when connecting KuaiDi100 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
KuaiDi100 + OpenAI Agents SDK FAQ
Common questions about integrating KuaiDi100 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect KuaiDi100 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect KuaiDi100 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.