Pingdom MCP Server
Monitor website uptime and performance via Pingdom — list checks, track response times, and manage alerts directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* 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
What is the Pingdom MCP Server?
The Pingdom MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Pingdom via 10 tools. Monitor website uptime and performance via Pingdom — list checks, track response times, and manage alerts directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Pingdom
Ask your AI agent "List all my current uptime checks and their status." and get the answer without opening a single dashboard. With 10 tools connected to real Pingdom data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Pingdom MCP Server capabilities
10 toolsGet average response time for a check
Get details for a specific check
List outages for a specific check
List alert notification contacts
List individual check results/logs
List scheduled maintenance windows
List all Pingdom monitoring locations (probes)
List all Pingdom uptime checks
Pause a specific uptime check
Resume a specific uptime check
What the Pingdom MCP Server unlocks
Connect your Pingdom account to any AI agent and take full control of your website monitoring and reliability workflows through natural conversation.
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.
How it works
1. Subscribe to this server
2. Enter your Pingdom API Token
3. Start monitoring your infrastructure directly from Claude, Cursor, or any MCP client
Who is this for?
- DevOps Engineers — quickly check if a service is down or audit recent outages while investigating incidents.
- Site Reliability Engineers (SRE) — monitor response time trends and verify probe locations directly from the IDE.
- System Administrators — pause uptime checks during scheduled maintenance to avoid false alerts.
Frequently asked questions about the Pingdom MCP Server
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.
More in this category
You might also like
Connect Pingdom with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Pingdom MCP Server
Production-grade Pingdom MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






