JSONCargo Maritime MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add JSONCargo Maritime as an MCP tool provider through the 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 JSONCargo Maritime. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in JSONCargo 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 JSONCargo Maritime MCP Server
Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with JSONCargo Maritime, the comprehensive source for real-time shipping data. By connecting JSONCargo to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for vessels, audit current voyage statuses, and retrieve detailed port metadata without you ever touching a maritime portal. Whether you are conducting supply chain research or monitoring regional trade constraints, your agent acts as a real-time maritime consultant, ensuring your data is always verified and precise.
LlamaIndex agents combine JSONCargo Maritime tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through the 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 Auditing — Search for thousands of maritime vessels by name or IMO number and retrieve detailed metadata, including flags and types.
- Voyage Oversight — Audit the current status and position of vessels to understand the temporal distribution of maritime logistics instantly.
- Port Discovery — Browse global ports and their location codes (LOCODEs) to maintain strict organizational control over trade routes.
- Logistics Intelligence — Retrieve unique vessel identifiers to assist in deep-dive supply chain classification.
- Operational Monitoring — Check API status to ensure your maritime research workflow is always operational.
The JSONCargo Maritime MCP Server exposes 4 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 JSONCargo Maritime to LlamaIndex via MCP
Follow these steps to integrate the JSONCargo 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 4 tools from JSONCargo Maritime
Why Use LlamaIndex with the JSONCargo Maritime MCP Server
LlamaIndex provides unique advantages when paired with JSONCargo Maritime through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine JSONCargo Maritime tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain JSONCargo Maritime tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query JSONCargo Maritime, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what JSONCargo Maritime tools were called, what data was returned, and how it influenced the final answer
JSONCargo Maritime + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the JSONCargo Maritime MCP Server delivers measurable value.
Hybrid search: combine JSONCargo Maritime real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query JSONCargo 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 JSONCargo Maritime for fresh data
Analytical workflows: chain JSONCargo Maritime queries with LlamaIndex's data connectors to build multi-source analytical reports
JSONCargo Maritime MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect JSONCargo Maritime to LlamaIndex via MCP:
check_api_status
Check if the JSONCargo service is operational
get_current_voyage_details
Get full metadata for the current voyage of a specific vessel ID
list_maritime_ports
List global ports registered in the JSONCargo database
search_maritime_vessels
Search for maritime vessels by name or IMO number
Example Prompts for JSONCargo Maritime in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with JSONCargo Maritime immediately.
"Search for vessel 'Ever Given' using JSONCargo."
"What is the current voyage status for vessel ID 'VES-123'?"
"List all maritime ports in 'Netherlands'."
Troubleshooting JSONCargo Maritime MCP Server with LlamaIndex
Common issues when connecting JSONCargo Maritime to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJSONCargo Maritime + LlamaIndex FAQ
Common questions about integrating JSONCargo 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 JSONCargo 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 JSONCargo Maritime to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.