# MCP Logging NL Query Server

> Use this tool when you need to query Google Cloud Logging using natural language, to simplify log analysis and troubleshooting. It translates queries into Google Cloud Logging Query Language (LQL) using Vertex AI Gemini 2.5, solving problems of complex query formulation and log data interpretation. The tool accepts natural language inputs and outputs equivalent LQL queries, making it ideal for use cases where ease of use and efficiency are crucial.

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

## Description

Allows developers and AI Agents to query Google Cloud Logging using natural language, translating queries into Google Cloud Logging Query Language (LQL) with Vertex AI Gemini 2.5.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ddr0g475r6)
- **Repository:** <https://github.com/srtux/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": "srtux-mcp"
    }
  }
}
```

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