How to Use the NavAPI MCP in OpenAI Agents SDK
NavAPI connects your OpenAI Agents SDK production systems to live maritime data feeds.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NavAPI MCP to OpenAI Agents SDK
Create your Vinkius account to connect NavAPI 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.
Real-time port traffic monitoring
Your agent pulls live vessel counts directly from the harbor. Use `get_port_vessel_traffic` to feed your production monitoring logic. Guardrails in your OpenAI setup validate these stats before any routing decisions trigger. It keeps your logistics pipeline clear of bad data.
Calculate precise nautical distances
Stop guessing shipping legs. Run `get_port_distance` to get exact nautical mileage between any two global ports. Your agent uses this output to estimate fuel consumption and arrival windows. It turns raw coordinates into actionable shipping schedules.
Automated route and chart discovery
Find the right path across the water instantly. Your agent queries `search_maritime_routes` and validates the results against `list_nautical_charts`. This workflow ensures your agent only commits to routes with verified chart coverage. It builds safety into every automated transit request.
Set up NavAPI 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 NavAPI tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives NavAPI tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate NavAPI 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="NavAPI Agent",
instructions="You have access to NavAPI 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 NavAPI. 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 NavAPI MCP in OpenAI Agents SDK
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