# MCP Log Analyzer

> Use this tool when you need to efficiently analyze log files and identify errors, patterns, and anomalies. The MCP Log Analyzer solves problems related to log file analysis, such as error detection and troubleshooting, by accepting natural language queries as input and providing actionable insights as output. It is ideal for use in Cursor IDE, particularly when working with large or complex log files that require AI-powered analysis.

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

## Description

Analyzes log files using AI-powered tools to detect errors, patterns, and anomalies through natural language queries in Cursor IDE.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a5awrsdijp)
- **Repository:** <https://github.com/BBashh/log_file_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": "bbashh-log-file-mcp"
    }
  }
}
```

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