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Vinkius

Pingdom MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pingdom through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "pingdom": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pingdom Agent",
    instructions:
      "You help users interact with Pingdom " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pingdom?"
  );
  console.log(result.text);
}

main();
Pingdom
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Pingdom tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Pingdom MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Pingdom via MCP

Why Use Mastra AI with the Pingdom MCP Server

Mastra AI provides unique advantages when paired with Pingdom through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pingdom without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Pingdom tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Pingdom + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Pingdom MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Pingdom, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Pingdom as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Pingdom on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Pingdom tools alongside other MCP servers

Pingdom MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Pingdom to Mastra AI via MCP:

01

get_average_response_time

Get average response time for a check

02

get_check_details

Get details for a specific check

03

get_check_outages

List outages for a specific check

04

list_alert_contacts

List alert notification contacts

05

list_check_results

List individual check results/logs

06

list_maintenance_windows

List scheduled maintenance windows

07

list_pingdom_probes

List all Pingdom monitoring locations (probes)

08

list_uptime_checks

List all Pingdom uptime checks

09

pause_uptime_check

Pause a specific uptime check

10

resume_uptime_check

Resume a specific uptime check

Example Prompts for Pingdom in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Pingdom immediately.

01

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

02

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

03

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

Troubleshooting Pingdom MCP Server with Mastra AI

Common issues when connecting Pingdom to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pingdom + Mastra AI FAQ

Common questions about integrating Pingdom MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Pingdom to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.