VesselAPI MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect VesselAPI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"vesselapi": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "VesselAPI Agent",
instructions:
"You help users interact with VesselAPI " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with VesselAPI?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and VesselAPI tool infrastructure. Connect 6 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 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 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 VesselAPI to Mastra AI via MCP
Follow these steps to integrate the VesselAPI 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 6 tools from VesselAPI via MCP
Why Use Mastra AI with the VesselAPI MCP Server
Mastra AI provides unique advantages when paired with VesselAPI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add VesselAPI 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 VesselAPI 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
VesselAPI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the VesselAPI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query VesselAPI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed VesselAPI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query VesselAPI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using VesselAPI tools alongside other MCP servers
VesselAPI MCP Tools for Mastra AI (6)
These 6 tools become available when you connect VesselAPI to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting VesselAPI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVesselAPI + Mastra AI FAQ
Common questions about integrating VesselAPI 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 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.
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 VesselAPI to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.