How to Use the VesselAPI MCP in Google ADK

Q: How does VesselAPI help with port listing in Google ADK?

The agent calls listmaritimeports, getting a list of supported global ports. This helps your workflow confirm valid destinations before attempting to schedule a vessel there.

Q: Does VesselAPI support multi-tool calling in Google ADK?

Yes. You can chain calls—for example, use searchvessels first, and then pass the resulting IMO number to getvesseldetails for a deep dive.

Build enterprise maritime agents that act on data using Google ADK and MCP Server capabilities.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect VesselAPI MCP to Google ADK

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

GDPR Free for Subscribers

Setup VesselAPI with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get Vessel Schedules for Planning

Use `get_vessel_schedules` to pull a vessel's full list of upcoming port visits. This gives your agent the dates, ports, and expected duration of calls. This is perfect for building planning agents that need to sequence multiple logistical stops accurately.

Retrieve Comprehensive Vessel Registry Details

The `get_vessel_details` tool takes an IMO number and returns a massive dataset about the vessel. You get everything from ownership history to tonnage. Your agent can then pass this structured data directly into BigQuery for further analysis using Vertex AI.

Search or Get Position Data

Need coordinates? Call `get_vessel_position` to fetch the latest AIS data point. Need a general search? Use `search_vessels` by name. These tools provide the raw geospatial inputs needed for geo-fencing and monitoring logic within your Google Cloud agent.

Setup guide

Set up VesselAPI 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 VesselAPI 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="VesselAPI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to VesselAPI tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VesselAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect VesselAPI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about VesselAPI MCP in Google ADK

Yes. Your Gemini model can receive the structured output from MCP tools like `get_vessel_details` and immediately act on that information within a BigQuery table.

The agent calls `list_maritime_ports`, getting a list of supported global ports. This helps your workflow confirm valid destinations before attempting to schedule a vessel there.

The primary data type is maritime tracking information, including location coordinates and structured registry details linked by IMO numbers. It's perfect for BigQuery ingestion.

It is. Your agent uses the tool to get real-time AIS data, which you can then integrate into your long-context reasoning pipelines for temporal analysis.

Yes. You can chain calls—for example, use `search_vessels` first, and then pass the resulting IMO number to `get_vessel_details` for a deep dive.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python