# mcp-enterprise-aiops-agent

> mcp-enterprise-aiops-agent — lokeshkundi15-mcp-enterprise-aiops-agent. Use this tool when you need to automate system monitoring and remediation, and solve problems related to IT operations and infrastructure management. It takes system metrics as input and outputs dynamic remediation actions through LLM-driven tool routing, with user interface options including Streamlit UI and CLI. This AI-powered agent is ideal for use cases requiring autonomous self-healing and efficient issue resolution in complex IT environments.

Canonical page: https://skillsregistry.net/skills/lokeshkundi15-mcp-enterprise-aiops-agent  
JSON: https://api.skillsregistry.net/v1/skills/lokeshkundi15-mcp-enterprise-aiops-agent

## Description

An MCP server that enables autonomous self-healing AIOps by monitoring system metrics and executing dynamic remediation through LLM-driven tool routing, with support for Streamlit UI and CLI.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sowo051ay3)
- **Repository:** <https://github.com/lokeshkundi15/mcp-enterprise-aiops-agent>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lokeshkundi15-mcp-enterprise-aiops-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lokeshkundi15-mcp-enterprise-aiops-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lokeshkundi15-mcp-enterprise-aiops-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt