How to Use the JSONCargo Maritime MCP in Google ADK

Q: How do I register JSONCargo Maritime tools from the MCP Server with my Google ADK agent?

Use McpToolset with the StreamableHttpServerParameters pointing to the Vinkius JSONCargo Maritime URL. Pass this toolset into your Google ADK LlmAgent constructor to expose the maritime tools.

Q: Can I limit which JSONCargo Maritime tools the Google ADK agent can access?

Yes, use the optional toolnames filter when initializing your Google ADK McpToolset. For example, you can expose only searchmaritimevessels and block port listing tools.

Feed real-time JSONCargo Maritime data directly into your Google ADK pipelines for long-context Gemini reasoning.

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Connect JSONCargo Maritime MCP to Google ADK

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Setup JSONCargo Maritime with Google ADK

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Query global ports inside Google ADK enterprise workflows

`list_maritime_ports` pulls coordinate and congestion data directly into your Google ADK agent. The Google ADK framework feeds this port data into Gemini's long-context window, letting the model analyze thousands of port records simultaneously. This setup lets you cross-reference JSONCargo Maritime port congestion with your existing BigQuery logistics tables inside Google ADK. Your Google ADK agent runs SQL queries on your internal data, then matches the results with the live port list to find shipping bottlenecks.

Track vessel positions using Gemini long-context reasoning

`search_maritime_vessels` allows your Google ADK agent to locate ships by name or IMO identifier. Because Google ADK handles massive token limits, the agent can ingest hours of vessel search results to build historical transit profiles. You initialize the connection using `McpToolset` with the Vinkius HTTP URL for JSONCargo Maritime. The Google ADK agent then calls the MCP Server tools dynamically as it processes incoming shipping requests from your Google Cloud Pub/Sub topics.

Audit voyage details to trigger Vertex AI predictions

`get_current_voyage_details` extracts live transit logs for any active vessel ID. Your Google ADK agent sends these JSONCargo Maritime logs to Vertex AI models to predict arrival delays based on current weather or speed. You can restrict which JSONCargo Maritime tools are exposed by setting the `tool_names` filter in the Google ADK toolset configuration. This ensures your Google ADK agent only accesses voyage details and cannot run unauthorized port listings.

Setup guide

Set up JSONCargo Maritime MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with JSONCargo Maritime tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="JSONCargo Maritime_agent",
    model="gemini-2.0-flash",
    instruction="You have access to JSONCargo Maritime tools via MCP.",
    tools=mcp_tools,
)

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Common questions about JSONCargo Maritime MCP in Google ADK

Use `McpToolset` with the `StreamableHttpServerParameters` pointing to the Vinkius JSONCargo Maritime URL. Pass this toolset into your Google ADK `LlmAgent` constructor to expose the maritime tools.

Yes, use the optional `tool_names` filter when initializing your Google ADK `McpToolset`. For example, you can expose only `search_maritime_vessels` and block port listing tools.

Your Google ADK agent can query your internal shipping tables in BigQuery, extract a vessel IMO, and use `get_current_voyage_details` to pull its live position. This lets you merge private logistics data with public JSONCargo Maritime tracking.

No, this managed JSONCargo Maritime server runs on streamable HTTP. You must use the HTTP transport parameters in Google ADK to connect to the Vinkius endpoint.

All port coordinates and vessel tracking numbers are processed in an isolated Vinkius V8 sandbox. This network isolation ensures that your Google ADK agent queries never leak proprietary JSONCargo Maritime shipping routes to third parties.

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