VesselAPI MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add VesselAPI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="vesselapi_agent",
instruction=(
"You help users interact with VesselAPI "
"using 6 available tools."
),
tools=[mcp_tools],
)
* 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 VesselAPI MCP Server
Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with VesselAPI, the comprehensive source for global shipping data. By connecting VesselAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly track vessels by IMO number, audit upcoming port schedules, and retrieve real-time AIS positions without you ever touching a maritime dashboard. Whether you are conducting supply chain research or monitoring global trade flow, your agent acts as a real-time maritime consultant, ensuring your data is always precise and up-to-the-minute.
Google ADK natively supports VesselAPI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Vessel Auditing — Retrieve high-resolution details for any vessel by IMO number, including flag, type, and build metadata.
- Schedule Oversight — Audit upcoming port calls and historical schedules to maintain a clear view of maritime logistics.
- Position Intelligence — Query real-time AIS positions to understand the current geographic distribution of vessels instantly.
- Port Discovery — List global maritime ports and retrieve localized metadata to assist in geographic planning.
- Logistics Monitoring — Check API status and monitor your data usage to maintain strict control over your research volume.
The VesselAPI MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK 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 VesselAPI to Google ADK via MCP
Follow these steps to integrate the VesselAPI MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 6 tools from VesselAPI via MCP
Why Use Google ADK with the VesselAPI MCP Server
Google ADK provides unique advantages when paired with VesselAPI through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with VesselAPI
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine VesselAPI tools with BigQuery, Vertex AI, and Cloud Functions
VesselAPI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the VesselAPI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query VesselAPI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine VesselAPI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query VesselAPI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including VesselAPI
VesselAPI MCP Tools for Google ADK (6)
These 6 tools become available when you connect VesselAPI to Google ADK via MCP:
check_api_status
Check if the VesselAPI is operational
get_vessel_details
Get comprehensive details for a vessel by IMO number
get_vessel_position
Get the latest AIS position for a vessel
get_vessel_schedules
Get upcoming port calls and schedules for a vessel
list_maritime_ports
List global maritime ports supported by VesselAPI
search_vessels
Search for vessels by name
Example Prompts for VesselAPI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with VesselAPI immediately.
"Get details for vessel with IMO 9411159 using VesselAPI."
"Where is vessel 'MSC OSCAR' located right now?"
"Show upcoming schedules for IMO 9243394."
Troubleshooting VesselAPI MCP Server with Google ADK
Common issues when connecting VesselAPI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkVesselAPI + Google ADK FAQ
Common questions about integrating VesselAPI MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect VesselAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VesselAPI to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
