How to Use the Datalastic Maritime MCP in Cursor

Q: Can I search for ports with Datalastic Maritime in Cursor?

Yes. You can instruct the agent to use searchportsbyname or searchportsbycountry. It will return port details that you can then tell the agent to use in the code it's writing.

Q: What kind of technical data can I get for a vessel?

The getvesselprospecs tool provides deep technical details. This includes the ship's dimensions, gross tonnage, deadweight, build year, and owner information. Your agent can fetch this and insert it as comments or use it to build data models.

Inject real-time maritime data directly into your code with Cursor's agent.

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Connect Datalastic Maritime MCP to Cursor

Create your Vinkius account to connect Datalastic Maritime to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Datalastic Maritime with Cursor

Ask AI about this MCP

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Claude

Perplexity

Code with live vessel data

This server gives your Cursor agent the ability to fetch live maritime information. Tell the agent to `get_vessel_status` for a specific ship, and it won't just tell you the location—it will write the code to handle that exact data structure. You get a working function, not a stub. Forget about using stale, hard-coded mock data in your projects. You can ask the agent to pull a vessel's entire route with `get_vessel_history` and then generate the code to process that track. It's the fastest way to build features based on real-world API responses.

Scaffold location-based features

Building something that needs to show ships on a map? This is what you need. Ask your agent to `find_vessels_in_radius` around a certain point. It will get a list of vessels and their coordinates from the tool. From there, you can tell the agent to write the Python or JavaScript code to plot those points using your preferred mapping library. The agent writes the code, using the live data it just fetched. You go from an idea to a working prototype in minutes.

Your Maritime Data MCP Server

This isn't just for one-off lookups. You can automate data validation and enrichment right inside your editor. For example, have the agent use `search_ports_by_country` and `get_port_details` to build a script that cleans up a list of port names in a CSV file. The agent calls the tools, gets the real data, and writes the script for you. Setting up this MCP server in your project's `.cursor/mcp.json` file gives your agent a direct line to global shipping data, ready for any task.

Setup guide

Set up Datalastic Maritime MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Datalastic Maritime MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Datalastic Maritime transactions." If the MCP tools are loaded correctly, Cursor will call the Datalastic Maritime tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "datalastic-maritime-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Datalastic Maritime MCP in Cursor

It lets Cursor's agent use live data. Ask it to 'get the status of vessel X with `get_vessel_status` and write a Python function to parse it.' The agent will call the tool and generate code that works with the real API response.

Yes. You can instruct the agent to use `search_ports_by_name` or `search_ports_by_country`. It will return port details that you can then tell the agent to use in the code it's writing.

The `get_vessel_pro_specs` tool provides deep technical details. This includes the ship's dimensions, gross tonnage, deadweight, build year, and owner information. Your agent can fetch this and insert it as comments or use it to build data models.

No, it's straightforward. You just add the Vinkius server URL to your project's `.cursor/mcp.json` file. Once that's saved, Cursor's agent can immediately start using the maritime tools.

Your queries, which contain data like vessel names or IDs, are sent to the server. The Vinkius platform that hosts this MCP server runs it in a sandboxed, zero-trust environment. The connection is secure and ephemeral.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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