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JSONCargo Maritime MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

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

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 JSONCargo Maritime "
            "(4 tools)."
        ),
    )

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

asyncio.run(main())
JSONCargo Maritime
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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 JSONCargo Maritime MCP Server

Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with JSONCargo Maritime, the comprehensive source for real-time shipping data. By connecting JSONCargo to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for vessels, audit current voyage statuses, and retrieve detailed port metadata without you ever touching a maritime portal. Whether you are conducting supply chain research or monitoring regional trade constraints, your agent acts as a real-time maritime consultant, ensuring your data is always verified and precise.

Pydantic AI validates every JSONCargo Maritime tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through the 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

  • Vessel Auditing — Search for thousands of maritime vessels by name or IMO number and retrieve detailed metadata, including flags and types.
  • Voyage Oversight — Audit the current status and position of vessels to understand the temporal distribution of maritime logistics instantly.
  • Port Discovery — Browse global ports and their location codes (LOCODEs) to maintain strict organizational control over trade routes.
  • Logistics Intelligence — Retrieve unique vessel identifiers to assist in deep-dive supply chain classification.
  • Operational Monitoring — Check API status to ensure your maritime research workflow is always operational.

The JSONCargo Maritime MCP Server exposes 4 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 JSONCargo Maritime to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 4 tools from JSONCargo Maritime with type-safe schemas

Why Use Pydantic AI with the JSONCargo Maritime MCP Server

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

01

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

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your JSONCargo Maritime integration code

03

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

04

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

JSONCargo Maritime + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

JSONCargo Maritime MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect JSONCargo Maritime to Pydantic AI via MCP:

01

check_api_status

Check if the JSONCargo service is operational

02

get_current_voyage_details

Get full metadata for the current voyage of a specific vessel ID

03

list_maritime_ports

List global ports registered in the JSONCargo database

04

search_maritime_vessels

Search for maritime vessels by name or IMO number

Example Prompts for JSONCargo Maritime in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with JSONCargo Maritime immediately.

01

"Search for vessel 'Ever Given' using JSONCargo."

02

"What is the current voyage status for vessel ID 'VES-123'?"

03

"List all maritime ports in 'Netherlands'."

Troubleshooting JSONCargo Maritime MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

JSONCargo Maritime + Pydantic AI FAQ

Common questions about integrating JSONCargo Maritime MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect JSONCargo Maritime to Pydantic AI

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.