How to Use the UptimeRobot MCP in Pydantic AI

Q: How does the Pydantic AI framework manage uptime monitoring?

The agent calls createuptimemonitor to set up checks. The strength here is that every piece of data returned—like pass/fail status from listmonitors—is validated against a schema, meaning you never get unexpected or corrupted fields.

Q: Can I check performance using UptimeRobot and Pydantic AI?

Yes. Running listmonitors gives you the up ratio and response times. Because the data is typed, your agent can trust that these metrics are structured correctly for immediate use.

Q: What if I need to delete a monitor using UptimeRobot and Pydantic AI?

The deleteuptimemonitor tool handles permanent removal. Since the operation is irreversible, always confirm your intent before running this through your agent.

Q: Does UptimeRobot and Pydantic AI support multiple alert destinations?

It does. The createalertcontact tool allows adding Email or Slack targets. Your agent can manage these contacts, making sure the notification system is always pointed at the right place.

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Setup UptimeRobot with Pydantic AI

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Monitoring Status via MCP Server

The agent begins by calling `create_uptime_monitor`, specifying the friendly name, URL, and desired check type (HTTP or Ping). This setup guarantees your monitored endpoints are correctly defined. When checking status, use `list_monitors`. The resulting data—pass/fail status, up ratio, response times—is validated against Pydantic models for guaranteed correctness.

Managing UptimeAlerts with Pydantic AI

The agent manages alert endpoints using `create_alert_contact`, whether it's adding an Email or Slack target. You can view all current destinations via `list_alert_contacts`. For cleanup, the `delete_alert_contact` tool removes the target entirely; remember this action is irreversible.

Account and Monitor Maintenance for Pydantic AI

Need to update a check? The agent runs `update_uptime_monitor`. For deep dives, it calls `get_monitor_details` or checks overall usage with `get_account_info`. You can also clear stats using `reset_monitor_logs`. Finally, use `delete_uptime_monitor` to permanently remove a check.

Setup guide

Set up UptimeRobot MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "uptimerobot-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to UptimeRobot tools.",
)

result = await agent.run("List recent UptimeRobot transactions")
print(result.output)

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Common questions about UptimeRobot MCP in Pydantic AI

The agent calls `create_uptime_monitor` to set up checks. The strength here is that every piece of data returned—like pass/fail status from `list_monitors`—is validated against a schema, meaning you never get unexpected or corrupted fields.

Yes. Running `list_monitors` gives you the up ratio and response times. Because the data is typed, your agent can trust that these metrics are structured correctly for immediate use.

The `delete_uptime_monitor` tool handles permanent removal. Since the operation is irreversible, always confirm your intent before running this through your agent.

It does. The `create_alert_contact` tool allows adding Email or Slack targets. Your agent can manage these contacts, making sure the notification system is always pointed at the right place.

This server touches monitor configuration details and account usage limits. The primary data types managed are URLs, friendly names, and status metrics, not private user identifiers.

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