How to Use the Gatus (Health Dashboard) MCP in AutoGen

Let AutoGen agents debate infrastructure status by querying Gatus (Health Dashboard) for real-time performance evidence.

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Connect Gatus (Health Dashboard) MCP to AutoGen

Create your Vinkius account to connect Gatus (Health Dashboard) 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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Setup Gatus (Health Dashboard) with AutoGen

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Perplexity

Debate outages with live metrics

Enable your agents to call `get_endpoint_health` during a discussion to verify if an outage is real. One agent challenges the other with actual response data. This stops speculation. The team converges on a solution only after looking at the hard evidence provided by the health check.

Negotiate failover with stats

Use `get_endpoint_stats` to let your performance agent push for a failover while the cost agent analyzes the impact. They weigh the metrics against your budget. It adds a layer of logic to your incident response. You get a consensus-driven decision based on real-time performance numbers.

Monitor consensus with Gatus tools

Register the MCP tools so your agents can pull `get_metrics` during a multi-agent task. They reference these values to validate their internal reasoning. This creates a transparent process where every agent sees the same data. It removes ambiguity from the decision-making cycle.

Setup guide

Set up Gatus (Health Dashboard) MCP in AutoGen

Prerequisites

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

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

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

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Gatus (Health Dashboard) 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="Gatus (Health Dashboard)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Gatus (Health Dashboard)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Gatus (Health Dashboard) MCP in AutoGen

Install the autogen-ext package and pass the server tools to your AssistantAgent. Your agents will automatically learn how to use the Gatus (Health Dashboard) functions to gather evidence.

They can. If one agent interprets a metric as a failure and another sees it as transient jitter, the debate forces them to re-examine the data until they agree.

Yes. You define which agents have access to the tools. Only the agents you authorize can query your infrastructure endpoints.

It works with both stdio and HTTP transports. You choose the one that fits your deployment, and the tools sync right up.

The server operates in an ephemeral Vinkius sandbox. Your endpoint URLs and health telemetry are never logged or stored by the host, ensuring your infrastructure monitoring remains strictly yours.

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