# Log Analyzer MCP Server

> Use this tool when you need to efficiently analyze and identify issues in local logs, leveraging semantic search, error pattern clustering, and smart error detection to generate AI-powered summaries. It solves problems related to log data management, error detection, and issue resolution by providing an intuitive interface for log processing, vectorization, and querying. Ideal for use cases where rapid log analysis and error identification are critical, such as in software development, IT operations, and cybersecurity applications.

Canonical page: https://skillsregistry.net/skills/suriya-ml-log-checker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/suriya-ml-log-checker-mcp

## Description

An MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f02ew6z010)
- **Repository:** <https://github.com/suriya-ML/log-checker-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": "suriya-ml-log-checker-mcp"
    }
  }
}
```

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