servers/ ai-agents/ endpoint-aiops
Endpoint AIops icon

Endpoint AIops

Unverified Claim & verify → AI & Agents

Governed managed-endpoint ops — login-storm & drift analysis, 13 MCP tools with audit/budget/undo.

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Overview Installation

Overview

Endpoint AIops is a Model Context Protocol (MCP) server: Governed managed-endpoint ops — login-storm & drift analysis, 13 MCP tools with audit/budget/undo. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

It runs locally: the Python package endpoint-aiops (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.9.0, published under the MIT license, with source at AIops-tools/Endpoint-AIops on GitHub.

You'll find Endpoint AIops in the AI & Agents category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Endpoint AIops for AIops-tools, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — endpoint-aiops · MCP over stdio
Open source — MIT license · AIops-tools/Endpoint-AIops
Topics — agent-skills, ai-ops, endpoint-management, governance, mcp

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "endpoint_aiops": {
      "command": "uvx",
      "args": [
        "endpoint-aiops"
      ]
    }
  }
}

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