Pingera Mcp

@pingera

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4 months ago

An MCP server for Pingera monitoring platform. Geo-distributed monitoring, playwright scripts execution, status pages.

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Overview

Pingera MCP Server Overview

What is it?

The Pingera MCP Server is a Model Context Protocol (MCP) server that connects AI models (like Claude) directly to the Pingera monitoring service. It allows AI assistants to read and manage your monitoring infrastructure through natural language conversations.

Key Features

Direct API Integration: Real-time access to your Pingera monitoring data
AI-Friendly Interface: Works seamlessly with Claude Desktop and other MCP-compatible AI tools
Two Operation Modes:
- Read-only: View monitoring data safely
- Read-write: Full management capabilities
Comprehensive Coverage: Status pages, monitoring checks, incidents, alerts, heartbeats, and more

When to Use It

Perfect for:

DevOps Teams: "Show me all failed checks from last week"
Site Reliability Engineers: "Create an incident for the API outage"
Monitoring Management: "List all my status pages and their components"
Incident Response: "What's the current status of our payment service?"
Automated Reporting: "Generate a summary of this month's uptime"

Use Cases:

Query monitoring data through natural language
Manage status pages and incidents via AI conversations
Automate monitoring setup and configuration
Generate monitoring reports and insights
Troubleshoot service issues with AI assistance

Quick Start

Install: uv tool install pingera-mcp-server
Configure: Add your Pingera API key to Claude Desktop config
Use: Ask Claude about your monitoring data!

Example queries:

"List my monitored services"
"Show details for the main website status page"
"Create a new incident for database maintenance"
"What checks are currently failing?"

Safety

Starts in read-only mode by default
Requires explicit configuration for write operations
Comprehensive error handling and validation
Secure API key management through environment variables

Transform your monitoring workflow with AI-powered infrastructure management!

Try in Playground

Server Config

{
  "mcpServers": {
    "pingera": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "pingera-mcp-server",
        "--python",
        "3.10",
        "python",
        "-m",
        "pingera_mcp"
      ],
      "env": {
        "PINGERA_API_KEY": "your_api_key_here",
        "PINGERA_MODE": "read_only",
        "PINGERA_BASE_URL": "https://api.pingera.ru/v1",
        "PINGERA_TIMEOUT": "30",
        "PINGERA_MAX_RETRIES": "3",
        "PINGERA_DEBUG": "false",
        "PINGERA_SERVER_NAME": "Pingera MCP Server"
      }
    }
  }
}

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