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How to Use the NavAPI MCP in AutoGen

Let AutoGen agents debate maritime logistics using the NavAPI MCP Server.

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AutoGen

Connect NavAPI MCP to AutoGen

Create your Vinkius account to connect NavAPI to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Debate routes using NavAPI in AutoGen

Assign one agent to analyze `search_maritime_routes` and another to evaluate fuel costs. They compare data until they reach a consensus on the best path. This setup forces your agents to challenge each other's assumptions. It's the best way to avoid expensive mistakes in your logistics planning.

Negotiate traffic flow in AutoGen

Have an agent monitor `get_port_vessel_traffic` and propose adjustments to your fleet schedule. A second agent, acting as the auditor, validates these changes against port constraints. They don't stop until the plan is sound. You get a finished, verified schedule instead of a list of raw data points.

Manage server health in AutoGen

Include `check_api_status` in your agent's initial verification loop. If the connection drops, your agents can negotiate a failover strategy automatically. Stop babysitting your infrastructure. Let the agents handle the routine checks and only wake you up if there's a real problem.

Setup guide

Set up NavAPI MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes NavAPI tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="NavAPI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent NavAPI data")
print(result.messages[-1].content)

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Common questions about NavAPI MCP in AutoGen

Install the MCP extension, point the server params to your NavAPI endpoint, and pass the tools list to your AssistantAgent.
Yes. The framework is built for debate, meaning agents will challenge the interpretation of port data until they reach an agreement.
The tool adapter maps the NavAPI schema to the format AutoGen expects automatically. No manual configuration is required.
Yes. You can connect via stdio or HTTP depending on your security and deployment needs.
The server uses isolated, ephemeral connections. Your port traffic metrics are never logged centrally and only exist within your active agent session.

Start using the NavAPI MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for NavAPI. Just plug in your AI agents and start using Vinkius.

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