How to Use the Skydropx API MCP in OpenAI Agents SDK
Shipping across LatAm with OpenAI Agents SDK. Get labels and quotes fast.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Skydropx API MCP to OpenAI Agents SDK
Create your Vinkius account to connect Skydropx API to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Quote rates from multiple carriers.
Need to know the cost before printing anything? Use `get_quotation` right away. This tool fetches real-time carrier rates, letting your agent compare costs instantly across LatAm. You'll see which services are most reliable and cheapest by running this against `list_carriers`. Your agent handles the comparison logic; you just provide the tools.
Manage shipment records.
Drafting a new shipment record is simple using `create_shipment`. It starts the whole process, setting up all necessary details before you even have a label. Later on, if plans change, your agent can draft a full replacement or use `get_shipment` to check what was already logged. You control the flow.
Track packages in real time.
Don't wait for manual updates. Run `get_tracking` whenever you need a status update on any package. It pulls live data, so your agent always works with current information. If you need to check the history of shipments or see what labels are active, just call `list_shipments`. The full picture is always available.
Set up Skydropx API 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 Skydropx API tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Skydropx API tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Skydropx API 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="Skydropx API Agent",
instructions="You have access to Skydropx API 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 Skydropx Matrix. 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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60%
lower AI costs
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Common questions about Skydropx API MCP in OpenAI Agents SDK
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