How to Use the Uptime.com MCP in AutoGen

Resolve complex uptime incidents through AutoGen multi-agent debate.

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Connect Uptime.com MCP to AutoGen

Create your Vinkius account to connect Uptime.com 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 Uptime.com with AutoGen

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Perplexity

Consensus on incident response.

Multiple agents can discuss the findings from `list_recent_alerts`. One agent might flag a potential risk based on status, while another uses `get_root_cause_analysis` to suggest the fix. The discussion forces deliberation. Instead of just presenting data, your system converges on a consensus action plan.

Collaborative configuration changes.

Agent A can call `list_checks` and report that a service needs monitoring. Agent B then debates the optimal parameters for a new check, calling `create_check` with suggested settings. This debate process ensures every proposed change is vetted against multiple viewpoints before execution.

Vetting system dependencies.

You can run agents to review integrations. One agent calls `list_integrations`, while a second agent checks the associated contact groups using `list_contact_groups`. The conversation flows from discovery to validation, ensuring that any action taken against Uptime.com is fully understood by all involved roles.

Setup guide

Set up Uptime.com 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 Uptime.com 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="Uptime.com_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Uptime.com 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="Uptime.com_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uptime.com. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Uptime.com MCP in AutoGen

AutoGen allows agents to debate the required actions based on uptime status. For instance, one agent checks `get_check` and another argues whether an update (`update_check`) is necessary.

The agents work with operational states: current check status, recent alerts, account details, and global node lists. The data fuels the debate.

Yes. You build systems that require deliberation—for example, a 'Performance Agent' arguing for higher monitoring frequency after reviewing `get_check_stats`.

The MCP Server manages the endpoint token required to talk to Uptime.com. Since multiple agents are calling tools, managing API call frequency is critical for stable operation.

This server touches configuration and status records: check details, alert history, contact groups, and account profile information.

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