How do I create a Pingdom API Token?

In your Pingdom dashboard (or SolarWinds portal), go to **Settings** > **API Tokens**. Click **Add API Token**, give it a name, and ensure it has the necessary access levels.

Can I see response times for different global regions?

Yes! The `list_check_results` tool returns data from multiple probe locations, allowing you to see how your site performs from different parts of the world.

Does this support pausing multiple checks at once?

The tools handle checks individually, but you can ask the AI agent to 'Pause all checks related to our API' and it will process them sequentially using their IDs.

Pingdom MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Pingdom
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pingdom through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Pingdom Assistant",
            instructions=(
                "You help users interact with Pingdom. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Pingdom"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Pingdom MCP Server

Connect your Pingdom account to any AI agent and take full control of your website monitoring and reliability workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Pingdom through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pingdom, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Uptime Visibility — List all monitoring checks and retrieve real-time status (up, down, unconfirmed).
Performance Tracking — Fetch average response times and detailed outage history for any specific check.
Log Auditing — Retrieve raw check results to investigate specific errors or latency spikes.
Global Infrastructure Oversight — List all Pingdom probe locations to understand your monitoring coverage.
Alert Management — List notification contacts and pause or resume checks during maintenance windows.

The Pingdom MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Pingdom to OpenAI Agents SDK via MCP

Follow these steps to integrate the Pingdom MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Pingdom

Why Use OpenAI Agents SDK with the Pingdom MCP Server

OpenAI Agents SDK provides unique advantages when paired with Pingdom through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Pingdom + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Pingdom MCP Server delivers measurable value.

Automated workflows: build agents that query Pingdom, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Pingdom, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Pingdom tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Pingdom to resolve tickets, look up records, and update statuses without human intervention

Pingdom MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Pingdom to OpenAI Agents SDK via MCP:

get_average_response_time

Get average response time for a check

get_check_details

Get details for a specific check

get_check_outages

List outages for a specific check

list_alert_contacts

List alert notification contacts

list_check_results

List individual check results/logs

list_maintenance_windows

List scheduled maintenance windows

list_pingdom_probes

List all Pingdom monitoring locations (probes)

list_uptime_checks

List all Pingdom uptime checks

pause_uptime_check

Pause a specific uptime check

resume_uptime_check

Resume a specific uptime check

Example Prompts for Pingdom in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pingdom immediately.

"List all my current uptime checks and their status."

"What was the average response time for the 'Main Site' check (ID: 12345) today?"

"Pause the uptime check for ID 98765 for our scheduled maintenance."

Troubleshooting Pingdom MCP Server with OpenAI Agents SDK

Common issues when connecting Pingdom to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Pingdom + OpenAI Agents SDK FAQ

Common questions about integrating Pingdom MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.