How do I find my NavAPI Key?

Log in to your [**NavAPI dashboard**](https://navapi.com/), and you will find your API Key under the 'API Settings' or 'My Keys' section. Copy and paste it below.

Does it calculate real-world nautical distances?

Yes. The `get_port_distance` tool calculates the distance in nautical miles (NM) between two ports using established maritime routes.

Can the agent show vessel counts at ports?

Yes. The `get_port_vessel_traffic` tool provides real-time statistics on the number of vessels currently identified at a specific port.

NavAPI MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: NavAPI
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NavAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to NavAPI "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NavAPI?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every NavAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the NavAPI MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from NavAPI with type-safe schemas

Why Use Pydantic AI with the NavAPI MCP Server

Pydantic AI provides unique advantages when paired with NavAPI through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NavAPI integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your NavAPI connection logic from agent behavior for testable, maintainable code

NavAPI + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NavAPI MCP Server delivers measurable value.

Type-safe data pipelines: query NavAPI with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NavAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NavAPI and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NavAPI responses and write comprehensive agent tests

NavAPI MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect NavAPI to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting NavAPI to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NavAPI + Pydantic AI FAQ

Common questions about integrating NavAPI MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your NavAPI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.