VesselAPI MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add VesselAPI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="vesselapi_agent",
tools=tools,
system_message=(
"You help users with VesselAPI. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use VesselAPI tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the VesselAPI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from VesselAPI automatically
Why Use AutoGen with the VesselAPI MCP Server
AutoGen provides unique advantages when paired with VesselAPI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use VesselAPI tools to solve complex tasks
Role-based architecture lets you assign VesselAPI tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive VesselAPI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes VesselAPI tool responses in an isolated environment
VesselAPI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the VesselAPI MCP Server delivers measurable value.
Collaborative analysis: one agent queries VesselAPI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from VesselAPI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using VesselAPI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process VesselAPI responses in a sandboxed execution environment
VesselAPI MCP Tools for AutoGen (6)
These 6 tools become available when you connect VesselAPI to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting VesselAPI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"VesselAPI + AutoGen FAQ
Common questions about integrating VesselAPI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect VesselAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.