Pingera MCP Server

@pingera

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

pingera

提交者

Sergey Pronin

关于 Pingera MCP Server

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

#mcp #monitoring #playwright#statuspages

Pingera MCP Server 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"
      }
    }
  }
}

Pingera MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

常见问题

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`.

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.

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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