How to Use the Cronitor (Cron Monitoring) MCP in OpenAI Agents SDK

Q: How do I use the Cronitor (Cron Monitoring) MCP Server with the OpenAI Agents SDK to create a monitor?

Your agent auto-discovers the createmonitor tool. Just ask it in plain language, like: 'Create a monitor for my daily backup script'. The SDK's guardrails will then prompt you to review and approve the action before it runs.

Q: Can my agent manage API keys for Cronitor (Cron Monitoring) using the OpenAI Agents SDK?

Yes. The server exposes createapikey, listapikeys, and deleteapikey tools. Your agent can handle key rotation or provision keys for new services, all within the safety framework of the OpenAI Agents SDK.

Connect your OpenAI Agent to Cronitor and build production-grade monitoring automations with built-in safety checks.

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Connect Cronitor (Cron Monitoring) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cronitor (Cron Monitoring) to OpenAI Agents SDK 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 Cronitor (Cron Monitoring) with OpenAI Agents SDK

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Automate the Full Monitor Lifecycle

Your agent can now manage your entire Cronitor setup from scratch. Tell it to `create_monitor` for a new cron job or `create_site` to start tracking a new web app. It can organize them with `create_group` or duplicate an existing setup using `clone_monitor`. This works for cleanup, too. The agent can `delete_monitor` or `delete_group` when a service is decommissioned. Since the OpenAI Agents SDK has built-in guardrails, you can require human confirmation for any destructive action. No more accidental deletions during a late-night coding session.

Build an Automated Incident Responder

Don't just monitor things—have your agent react to them. When a check fails, your agent can immediately `create_issue` in Cronitor to start tracking the problem. As your other systems work to resolve it, the agent can `update_issue` to reflect the current status. Your agent can also help manage alert noise. Instruct it to `pause_monitor` during a risky deployment or schedule a full `create_maintenance_window` to silence a whole group of checks. Every action is logged and traceable in your OpenAI dashboard, so you have a full audit trail.

Query Cronitor Metrics with your OpenAI Agent

Ask your agent for performance data in plain English. It will translate your request into a `get_metrics` call to pull specific numbers or `get_aggregates` for rolled-up historical data. You can also have it check on user-facing problems with `query_site_analytics` or `get_site_errors`. This MCP Server turns your agent into your personal data analyst for Cronitor. Instead of clicking through dashboards, you just ask questions. Your agent gets the data, summarizes it, and can even format it for reports.

Setup guide

Set up Cronitor (Cron Monitoring) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cronitor (Cron Monitoring) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cronitor (Cron Monitoring) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cronitor (Cron Monitoring) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cronitor (Cron Monitoring) Agent",
            instructions="You have access to Cronitor (Cron Monitoring) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Cronitor (Cron Monitoring) MCP in OpenAI Agents SDK

Your agent auto-discovers the `create_monitor` tool. Just ask it in plain language, like: 'Create a monitor for my daily backup script'. The SDK's guardrails will then prompt you to review and approve the action before it runs.

Yes. The server exposes `create_api_key`, `list_api_keys`, and `delete_api_key` tools. Your agent can handle key rotation or provision keys for new services, all within the safety framework of the OpenAI Agents SDK.

Tell your agent to schedule a maintenance window by using the `create_maintenance_window` tool. This is better than just pausing monitors because it officially logs the downtime in Cronitor for a specific period, giving you a cleaner history.

It's a single URL endpoint from Vinkius. You pass it to the `MCPServerStreamableHttp` constructor in your Python code. Your agent handles the rest, authenticating with your token and discovering all 44 tools automatically.

Yes. The server only accesses Cronitor monitor configurations, telemetry data, and issue details. Vinkius sandboxes every request in an ephemeral V8 isolate, and all connections are encrypted end-to-end. Your Cronitor API key is managed by Vinkius, not exposed to the agent.

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