Maritime Vessel Data MCP Server
Enables querying maritime vessel data via MCP tools and resources, including vessel search, port proximity, and vessel details lookups.
README
Maritime Vessel Data — MCP Server
A Model Context Protocol (MCP) server that exposes maritime vessel data as standard MCP tools and a resource. Any MCP-compatible client — Claude Desktop, an agent framework, an IDE extension — can query live vessel data through the protocol instead of a bespoke integration.
Built with Python and the official mcp SDK
(FastMCP). It is the same tool surface used by the companion
maritime-vessel-agent
project, published here as a reusable, protocol-standard server.
What it demonstrates
| Capability | Where |
|---|---|
| Model Context Protocol (MCP) | src/server.py — a FastMCP server over stdio |
| Tool design | search_vessels, vessels_near_port, vessel_details |
| MCP resources | vessels://all exposes the dataset as a readable resource |
| Interoperability | works with any MCP client — no client-specific code |
Tools
| Tool | Purpose |
|---|---|
search_vessels(vessel_type, flag, status) |
filter the fleet by type / flag / navigational status |
vessels_near_port(port, radius_nm) |
vessels within a radius of a named port, distance-annotated |
vessel_details(query) |
look up one vessel by MMSI or name |
Resource vessels://all returns the full dataset.
Setup
cd maritime-mcp-server
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
Verify it works (offline)
python -m src.smoke_test
This exercises every tool without needing an MCP client.
Run the server
python -m src.server # serves over stdio (how MCP clients launch it)
Use it from Claude Desktop
Add the server to your claude_desktop_config.json
(~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"maritime-vessel-data": {
"command": "/absolute/path/to/maritime-mcp-server/.venv/bin/python",
"args": ["-m", "src.server"],
"cwd": "/absolute/path/to/maritime-mcp-server"
}
}
}
Restart Claude Desktop, then ask it questions like "Which tankers are at anchor near Port Klang?" — it will call the server's tools directly.
Extending it
- Point
data/vessels.jsonat a live AIS feed. - Add tools (route ETA, anchorage occupancy) — clients discover them automatically.
- Add authentication and switch to the HTTP/SSE transport for remote clients.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.