NavAPI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NavAPI 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="NavAPI Assistant",
instructions=(
"You help users interact with NavAPI. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from NavAPI"
)
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 NavAPI MCP Server
Empower your AI agent to orchestrate your entire maritime research and nautical auditing workflow with NavAPI, the comprehensive source for global shipping and navigation data. By connecting NavAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for maritime ports, audit nautical distances, and retrieve vessel traffic statistics without you ever touching a technical portal. Whether you are planning shipping routes or conducting regional maritime audits, your agent acts as a real-time nautical consultant, ensuring your data is always precise and localized.
The OpenAI Agents SDK auto-discovers all 6 tools from NavAPI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NavAPI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Port Auditing — Retrieve high-resolution details for thousands of global maritime ports, including country and coordinate metadata.
- Route Oversight — Audit nautical distances between any two ports to maintain a clear view of shipping logistics and scale.
- Traffic Intelligence — Query real-time vessel traffic for specific ports to understand the current industry distribution instantly.
- Chart Discovery — List available nautical charts for specific geographic areas to assist in regional navigation planning.
- Logistics Monitoring — Check API status to ensure your maritime research workflow is always operational.
The NavAPI MCP Server exposes 6 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 NavAPI to OpenAI Agents SDK via MCP
Follow these steps to integrate the NavAPI 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 6 tools from NavAPI
Why Use OpenAI Agents SDK with the NavAPI MCP Server
OpenAI Agents SDK provides unique advantages when paired with NavAPI 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
NavAPI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the NavAPI MCP Server delivers measurable value.
Automated workflows: build agents that query NavAPI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries NavAPI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through NavAPI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query NavAPI to resolve tickets, look up records, and update statuses without human intervention
NavAPI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect NavAPI to OpenAI Agents SDK via MCP:
check_api_status
Check if the NavAPI service is operational
get_nautical_ports
List global maritime ports with optional country filter
get_port_distance
Calculate the nautical distance between two ports
get_port_vessel_traffic
Get current vessel traffic statistics for a specific port
list_nautical_charts
List nautical charts available for a specific geographic area
search_maritime_routes
Search for maritime shipping routes
Example Prompts for NavAPI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NavAPI immediately.
"Search for ports in 'Singapore' using NavAPI."
"Calculate the nautical distance between 'SGSIN' (Singapore) and 'NLRTM' (Rotterdam)."
"What is the current traffic at the Port of Shanghai (CNSHA)?"
Troubleshooting NavAPI MCP Server with OpenAI Agents SDK
Common issues when connecting NavAPI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
NavAPI + OpenAI Agents SDK FAQ
Common questions about integrating NavAPI 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 NavAPI 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 NavAPI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.