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mttrly - AI-powered incident management and server monitoring vi…

@mttrly-hq

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開発者ツール

トランスポート

stdio

作者

mttrly-hq

投稿者

dvmaslennikov

mttrly - AI-powered incident management and server monitoring via MCP. について

Remote Streamable HTTP MCP server for AI SRE workflows: server health, alerts, diagnostics, playbooks, approvals, audit history, deploy verification, and safe server inspection. Uses OAuth 2.1 with PKCE.

#monitoring#devops

mttrly - AI-powered incident management and server monitoring via MCP. 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": {
    "mttrly": {
      "url": "https://api.mttrly.com/mcp"
    }
  }
}

mttrly - AI-powered incident management and server monitoring via MCP. 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。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is mttrly?

mttrly is a remote Streamable HTTP MCP connector that provides AI-powered incident management and server monitoring. It integrates with the mttrly Central API to access an AI SRE agent for server health, diagnostics, playbooks, approvals, and audit history. It is designed for users who need to monitor and manage remote servers through MCP-compatible clients.

How to use mttrly?

Connect via the mttrly connector UI in Claude.ai or Claude Desktop by adding a custom connector with URL https://api.mttrly.com/mcp and completing OAuth. For Claude Code, run claude mcp add --transport http mttrly https://api.mttrly.com/mcp. For OpenAI Codex, add the URL to ~/.codex/config.toml and run codex mcp login mttrly. Cursor users can add the same URL as a remote MCP server. Always call mttrly_get_capabilities first to discover available tools and plan restrictions.

Key features of mttrly

  • Remote Streamable HTTP transport via Central API
  • OAuth 2.1 authentication with PKCE S256
  • 40 tools: 21 read and 19 execute
  • Server health monitoring (CPU, RAM, disk, alerts)
  • Non‑destructive diagnostics and investigation bypass
  • Playbook execution with optional approval
  • Audit logs with source attribution

Use cases of mttrly

  • Monitor server health and receive proactive alerts
  • Run remote diagnostics and triage incidents
  • Execute remediation playbooks with approval workflows
  • Investigate server issues with session‑wide bypass
  • Retrieve audit trails for compliance and root‑cause analysis

よくある質問

1

What transport does mttrly use?

mttrly uses remote Streamable HTTP; it does not expose a local stdio surface.

2

How do I authenticate with mttrly?

Authentication uses OAuth 2.1 with PKCE S256 against `https://app.mttrly.com`. Browser-origin clients must be allowlisted.

3

What are the plan levels?

Two plans exist: Watchdog (read‑only tools, e.g., server status, alerts) and Deployment Bro (full read/execute tools, including diagnostics and playbooks).

4

Are all tools immediately available?

No. Always call `mttrly_get_capabilities` first to see available tools, restricted tools, and plan limits.

5

What happens when an action requires approval?

Actions such as playbook execution or shell commands return `pending_approval`. Pending actions expire after 30 minutes; use `mttrly_approve_action` or `mttrly_cancel_action` after explicit user confirmation.

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