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Pingera MCP Server

@pingera

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

pingera

投稿者

Sergey Pronin

Pingera MCP Server について

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

#mcp#monitoring#playwright#statuspages

Pingera MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      }
    }
  }
}

Pingera MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Pingera Mcp?

Pingera Mcp is a Model Context Protocol (MCP) server that integrates AI models with the Pingera monitoring service, enabling agents to access and manage monitoring data through a structured API.

How to use Pingera Mcp?

Install the package globally using UV (uv tool install pingera-mcp-server), then configure the Claude Desktop settings with the required PINGERA_API_KEY environment variable. Run the server with python main.py or use the Claude Desktop integration. The server starts in read‑only mode by default; set PINGERA_MODE=read_write to enable write operations.

Key features of Pingera Mcp

  • Modular Pingera API client library with clean abstractions
  • Read‑only and read‑write operation modes
  • MCP tools for pages, components, checks, alerts, heartbeats, incidents
  • Robust error handling with custom exception hierarchy
  • Real‑time data via Pingera API v1
  • Pydantic models for type‑safe data validation
  • Environment‑based configuration management

Use cases of Pingera Mcp

  • List monitored status pages and view their details
  • Retrieve and analyze monitoring check results
  • Manage components and component groups on a status page
  • Create, update, and delete incidents with status updates (in read‑write mode)
  • Test API connectivity from an AI agent

よくある質問

1

What dependencies does Pingera Mcp require?

Python 3.10 or later, the UV package manager, and a valid Pingera API key.

2

How do I switch between read‑only and read‑write mode?

Set the environment variable `PINGERA_MODE` to `read_only` (default) or `read_write`. In read‑write mode, the server also provides tools for creating, updating, and deleting resources.

3

Which MCP tools are always available?

The server always exposes tools for reading data: `list_pages`, `get_page_details`, `list_component_groups`, `get_component_details`, `list_checks`, `get_check_details`, `list_alert_rules`, `list_heartbeats`, `list_incidents`, and `test_pingera_connection`.

4

Where is the monitoring data stored?

All data is stored on the Pingera servers and accessed live via the Pingera API v1. No local persistence is performed by the MCP server.

5

How is authentication handled?

Authentication requires a `PINGERA_API_KEY` environment variable. The key is passed to the Pingera client for all API requests.

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