Datalastic Maritime MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Datalastic Maritime through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Datalastic Maritime Assistant",
instructions=(
"You help users interact with Datalastic Maritime. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Datalastic Maritime"
)
print(result.final_output)
asyncio.run(main())
* 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 Datalastic Maritime MCP Server
Equip your AI agent with real-time global maritime intelligence through the Datalastic MCP server. This integration provides instant access to detailed information on thousands of vessels and ports worldwide. Your agent can search for ships by name, retrieve exhaustive metadata (including MMSI, status, and flag), and track real-time positions and ETAs for specific vessels. It also allows searching for maritime ports by country to find official UN/LOCODEs. Whether you are managing global logistics, auditing supply chains, or researching maritime traffic, your agent acts as a dedicated port captain and logistics analyst through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Datalastic Maritime through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Datalastic Maritime, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Vessel Search & Specs — Find commercial ships by name and retrieve robust technical dimensions and tonnages.
- Navigation Intelligence — Retrieve real-time positions, ETAs, and historical AIS tracking paths for specific vessels.
- Geofence Discovery — Find all active vessels and cargo tankers located within a specific circular radius instantly.
- Port Insights — Discover maritime ports by country or name and retrieve exact geolocations and UN/LOCODEs.
The Datalastic Maritime MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Datalastic Maritime to OpenAI Agents SDK via MCP
Follow these steps to integrate the Datalastic Maritime MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Datalastic Maritime
Why Use OpenAI Agents SDK with the Datalastic Maritime MCP Server
OpenAI Agents SDK provides unique advantages when paired with Datalastic Maritime through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Datalastic Maritime + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Datalastic Maritime MCP Server delivers measurable value.
Automated workflows: build agents that query Datalastic Maritime, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Datalastic Maritime, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Datalastic Maritime tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Datalastic Maritime to resolve tickets, look up records, and update statuses without human intervention
Datalastic Maritime MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Datalastic Maritime to OpenAI Agents SDK via MCP:
find_vessels_in_radius
Find all vessels currently located within a specific circular radius
get_port_details
Get specific details and coordinates for a maritime port
get_vessel_history
Get historical AIS track and location data for a vessel
get_vessel_pro_specs
Get advanced technical specifications for a vessel
get_vessel_status
Get real-time location and status for a specific vessel
search_maritime_vessels
Search for vessels by name
search_ports_by_country
Search for maritime ports in a specific country
search_ports_by_name
Search for maritime ports by text name
Example Prompts for Datalastic Maritime in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Datalastic Maritime immediately.
"Search for a vessel named 'Ever Given'."
"What is the current status and ETA for vessel MMSI '235114578'?"
"List all major ports in 'Brazil'."
Troubleshooting Datalastic Maritime MCP Server with OpenAI Agents SDK
Common issues when connecting Datalastic Maritime to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Datalastic Maritime + OpenAI Agents SDK FAQ
Common questions about integrating Datalastic Maritime MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Datalastic Maritime 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Datalastic Maritime to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
