How to Use the JSONCargo Maritime MCP in Pydantic AI

Q: How do I configure JSONCargo Maritime with Pydantic AI?

Install the slim package with MCP support and initialize MCPToolset with the Vinkius JSONCargo Maritime HTTP URL. Pass this toolset instance to your Pydantic AI Agent's toolsets argument.

Q: Does Pydantic AI validate the output of JSONCargo Maritime tools?

Yes, every response from tools like getcurrentvoyagedetails is validated against Pydantic models. This ensures your Pydantic AI agent never processes malformed JSONCargo Maritime voyage data or hallucinated fields.

Build type-safe maritime tracking agents with Pydantic AI and JSONCargo Maritime tool validation.

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Connect JSONCargo Maritime MCP to Pydantic AI

Create your Vinkius account to connect JSONCargo Maritime to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JSONCargo Maritime with Pydantic AI

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Enforce strict type safety on maritime vessel searches

`search_maritime_vessels` returns structured vessel registries that Pydantic AI validates against strict Python models at runtime. If the MCP Server returns an unexpected format, the Pydantic AI framework raises a validation error immediately. This rigorous validation prevents your Pydantic AI agent from processing corrupted IMO numbers or malformed ship names from JSONCargo Maritime. You get clean, typed data that you can safely pass to your database or downstream APIs.

Validate active voyage metadata at runtime

`get_current_voyage_details` retrieves active transit logs that are instantly parsed into Pydantic models. Your Pydantic AI agent checks the structure of the JSONCargo Maritime voyage data before executing any logical branches. Since the Pydantic AI framework is model-agnostic, you can use these validated JSONCargo Maritime voyage details with OpenAI, Anthropic, or local models. The validation layer sits between the LLM and the server, keeping your data clean.

Parse global port registries via Pydantic AI

`list_maritime_ports` queries port coordinates and congestion levels, converting the raw JSON response into type-safe Python objects. Pydantic AI ensures that latitude, longitude, and congestion metrics from JSONCargo Maritime match your expected schemas exactly. You connect by passing the Vinkius HTTP URL directly to the Pydantic AI `MCPToolset` constructor. The toolset manages the SSE transport under the hood, exposing the validated port tools from the MCP Server to your agent.

Setup guide

Set up JSONCargo Maritime MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "jsoncargo-maritime-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to JSONCargo Maritime tools.",
)

result = await agent.run("List recent JSONCargo Maritime transactions")
print(result.output)

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Common questions about JSONCargo Maritime MCP in Pydantic AI

Install the slim package with MCP support and initialize `MCPToolset` with the Vinkius JSONCargo Maritime HTTP URL. Pass this toolset instance to your Pydantic AI Agent's `toolsets` argument.

Yes, every response from tools like `get_current_voyage_details` is validated against Pydantic models. This ensures your Pydantic AI agent never processes malformed JSONCargo Maritime voyage data or hallucinated fields.

Yes, Pydantic AI is model-agnostic. You can run the JSONCargo Maritime tools using local models or commercial APIs while maintaining strict schema validation.

It uses the Server-Sent Events (SSE) transport over HTTP. The Pydantic AI `MCPToolset` class handles this connection automatically when you provide the Vinkius JSONCargo Maritime endpoint URL.

The Vinkius platform runs this MCP Server in an ephemeral V8 sandbox with zero-trust network access. Your Pydantic AI agent communicates via a single token, keeping your JSONCargo Maritime vessel tracking credentials secure.

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