# TowerWatch Ops Agent MCP Server

> TowerWatch Ops Agent MCP Server — kemosabe102-towerwatch-ops-agent. Use this tool when you need to integrate network monitoring capabilities into agentic workflows, providing access to metrics, logs, and runbooks. It solves problems related to network performance analysis, troubleshooting, and optimization, offering features like cost-aware model routing and semantic tool retrieval. The TowerWatch Ops Agent MCP Server takes in workflow requests and outputs network insights, making it ideal for use cases that require automated network evaluation and decision-making.

Canonical page: https://skillsregistry.net/skills/kemosabe102-towerwatch-ops-agent  
JSON: https://api.skillsregistry.net/v1/skills/kemosabe102-towerwatch-ops-agent

## Description

Exposes network-monitoring tools (query metrics, analyze windows, compare, logs, status, runbooks, speed tests) as an MCP server for agentic workflows. Designed with evaluation suites, cost-aware model routing, and semantic tool retrieval.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lyr2hmzca1)
- **Repository:** <https://github.com/kemosabe102/towerwatch-ops-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": "kemosabe102-towerwatch-ops-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kemosabe102-towerwatch-ops-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kemosabe102-towerwatch-ops-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