How to Use the Datalastic Maritime MCP in Google ADK
Connect Gemini agents to live shipping data using Datalastic Maritime and Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Datalastic Maritime MCP to Google ADK
Create your Vinkius account to connect Datalastic Maritime 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.
Feed AIS tracks into BigQuery
Enterprise logistics models need massive amounts of historical data. Your Gemini agent can pull months of movement using `get_vessel_history` and dump that straight into your Google Cloud infrastructure. The massive token context window handles enormous track logs easily. Matching those tracks to physical ships requires technical details. The `get_vessel_pro_specs` tool grabs the exact dimensions and draft for your selected fleet. Your agent joins this live MCP Server data with your existing BigQuery tables.
Monitor exclusion zones with Google ADK
Supply chain risks often involve ships wandering into restricted waters. You can set up a scheduled agent to run `find_vessels_in_radius` around specific lat/long coordinates. Gemini parses the resulting ship list to flag unauthorized entries. Getting granular status updates takes one more step. The agent triggers `get_vessel_status` on any flagged ship to check its speed and heading. All of this runs natively within your Vertex AI environment.
Map global port infrastructure
Finding alternative docking locations during a strike requires fast searches. The `search_ports_by_country` tool gives your agent a complete list of regional options instantly. Once Gemini picks a target, it needs the exact location. Calling `get_port_details` returns the precise coordinates. You filter the exposed MCP tools using the tool_names parameter so the agent only accesses port functions if that is its specific job.
Set up Datalastic Maritime MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Datalastic Maritime tools in your ADK agent.
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="Datalastic Maritime_agent",
model="gemini-2.0-flash",
instruction="You have access to Datalastic Maritime tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datalastic. 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.
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Common questions about Datalastic Maritime MCP in Google ADK
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