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

@mttrly-hq

Basic information

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

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. config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mttrly": {
      "url": "https://api.mttrly.com/mcp"
    }
  }
}

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

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Overview

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

Frequently asked questions

What transport does mttrly use?

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

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.

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).

Are all tools immediately available?

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

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.

Comments

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