# mcplogview

> Use this tool when you need to monitor and analyze log files from various sources, as it enables agents to list, query, and follow logs from local and SSH sources, providing valuable insights for troubleshooting and debugging purposes. It accepts log file configurations as input and outputs log data in a readable format. Ideal for use cases where log file analysis is crucial, such as system maintenance, error detection, and performance optimization.

Canonical page: https://skillsregistry.net/skills/skromesch-mcplogview  
JSON: https://api.skillsregistry.net/v1/skills/skromesch-mcplogview

## Description

Exposes configured log files as MCP tools, enabling agents to list, query, and follow logs from local and SSH sources.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rbzpuadxhr)
- **Repository:** <https://github.com/skromesch/mcplogview>

## 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": "skromesch-mcplogview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skromesch-mcplogview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skromesch-mcplogview/pull`

---
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