# Log MCP Server

> Use this tool when you need to automatically inspect and analyze application runtime log files for debugging and troubleshooting purposes. It supports multiple log directories, allowing for efficient listing, reading, searching, and pagination through log files. Ideal for AI assistants requiring log file analysis to resolve issues and improve application performance.

Canonical page: https://skillsregistry.net/skills/thhart-log-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thhart-log-mcp

## Description

Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j8qglb6et3)
- **Repository:** <https://github.com/thhart/log-mcp>

## 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": "thhart-log-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thhart-log-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thhart-log-mcp/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