NavAPI 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 NavAPI 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="navapi_agent",
tools=tools,
system_message=(
"You help users with NavAPI. "
"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 NavAPI MCP Server
Empower your AI agent to orchestrate your entire maritime research and nautical auditing workflow with NavAPI, the comprehensive source for global shipping and navigation data. By connecting NavAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for maritime ports, audit nautical distances, and retrieve vessel traffic statistics without you ever touching a technical portal. Whether you are planning shipping routes or conducting regional maritime audits, your agent acts as a real-time nautical consultant, ensuring your data is always precise and localized.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use NavAPI 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
- Port Auditing — Retrieve high-resolution details for thousands of global maritime ports, including country and coordinate metadata.
- Route Oversight — Audit nautical distances between any two ports to maintain a clear view of shipping logistics and scale.
- Traffic Intelligence — Query real-time vessel traffic for specific ports to understand the current industry distribution instantly.
- Chart Discovery — List available nautical charts for specific geographic areas to assist in regional navigation planning.
- Logistics Monitoring — Check API status to ensure your maritime research workflow is always operational.
The NavAPI 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 NavAPI to AutoGen via MCP
Follow these steps to integrate the NavAPI 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 NavAPI automatically
Why Use AutoGen with the NavAPI MCP Server
AutoGen provides unique advantages when paired with NavAPI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use NavAPI tools to solve complex tasks
Role-based architecture lets you assign NavAPI 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 NavAPI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes NavAPI tool responses in an isolated environment
NavAPI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the NavAPI MCP Server delivers measurable value.
Collaborative analysis: one agent queries NavAPI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from NavAPI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using NavAPI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process NavAPI responses in a sandboxed execution environment
NavAPI MCP Tools for AutoGen (6)
These 6 tools become available when you connect NavAPI to AutoGen via MCP:
check_api_status
Check if the NavAPI service is operational
get_nautical_ports
List global maritime ports with optional country filter
get_port_distance
Calculate the nautical distance between two ports
get_port_vessel_traffic
Get current vessel traffic statistics for a specific port
list_nautical_charts
List nautical charts available for a specific geographic area
search_maritime_routes
Search for maritime shipping routes
Example Prompts for NavAPI in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with NavAPI immediately.
"Search for ports in 'Singapore' using NavAPI."
"Calculate the nautical distance between 'SGSIN' (Singapore) and 'NLRTM' (Rotterdam)."
"What is the current traffic at the Port of Shanghai (CNSHA)?"
Troubleshooting NavAPI MCP Server with AutoGen
Common issues when connecting NavAPI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"NavAPI + AutoGen FAQ
Common questions about integrating NavAPI 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 NavAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 NavAPI to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
