Datalastic Maritime MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Datalastic Maritime through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"datalastic-maritime": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Datalastic Maritime Agent",
instructions:
"You help users interact with Datalastic Maritime " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Datalastic Maritime?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Datalastic Maritime tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Datalastic Maritime MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Datalastic Maritime via MCP
Why Use Mastra AI with the Datalastic Maritime MCP Server
Mastra AI provides unique advantages when paired with Datalastic Maritime through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Datalastic Maritime without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Datalastic Maritime tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Datalastic Maritime + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Datalastic Maritime MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Datalastic Maritime, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Datalastic Maritime as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Datalastic Maritime on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Datalastic Maritime tools alongside other MCP servers
Datalastic Maritime MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Datalastic Maritime to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Datalastic Maritime to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDatalastic Maritime + Mastra AI FAQ
Common questions about integrating Datalastic Maritime MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.