Datalastic Maritime MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Datalastic Maritime as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Datalastic Maritime. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Datalastic Maritime?"
)
print(response)
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.
LlamaIndex agents combine Datalastic Maritime tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Datalastic Maritime MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Datalastic Maritime
Why Use LlamaIndex with the Datalastic Maritime MCP Server
LlamaIndex provides unique advantages when paired with Datalastic Maritime through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Datalastic Maritime tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Datalastic Maritime tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Datalastic Maritime, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Datalastic Maritime tools were called, what data was returned, and how it influenced the final answer
Datalastic Maritime + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Datalastic Maritime MCP Server delivers measurable value.
Hybrid search: combine Datalastic Maritime real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Datalastic Maritime to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Datalastic Maritime for fresh data
Analytical workflows: chain Datalastic Maritime queries with LlamaIndex's data connectors to build multi-source analytical reports
Datalastic Maritime MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Datalastic Maritime to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Datalastic Maritime to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDatalastic Maritime + LlamaIndex FAQ
Common questions about integrating Datalastic Maritime MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.