Pingera Mcp

Name: Pingera Mcp
Author: pingera

@pingera

代码仓库

关于 Pingera Mcp

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

#mcp #monitoring #playwright #statuspages

基本信息

分类

其他

传输方式

stdio

发布者

pingera

提交者

Sergey Pronin

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      }
    }
  }
}

工具

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概览

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

FAQ from Pingera Mcp

What dependencies does Pingera Mcp require?

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

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.

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.