# MCP Terminal Monitor

> MCP Terminal Monitor — pavanvzm-build-a-developer-workflow-mcp-server. Use this tool when you need to monitor and track system performance, container activity, and log data in real-time. The MCP Terminal Monitor enables AI agents to oversee Docker containers, system resources, ports, and logs, providing valuable insights to solve issues related to resource utilization, container management, and error debugging. It accepts system and container data as inputs and outputs real-time monitoring information, ideal for use cases requiring continuous system oversight and troubleshooting.

Canonical page: https://skillsregistry.net/skills/pavanvzm-build-a-developer-workflow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pavanvzm-build-a-developer-workflow-mcp-server

## Description

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jxe9degjpc)
- **Repository:** <https://github.com/pavanvzm/Build-a-Developer-Workflow-MCP-Server>

## 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": "pavanvzm-build-a-developer-workflow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pavanvzm-build-a-developer-workflow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pavanvzm-build-a-developer-workflow-mcp-server/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