# loki-tail-mcp

> loki-tail-mcp — snickery-loki-tail-mcp. Use this tool when you need to efficiently query and analyze logs in Grafana Loki, particularly for use cases involving log pattern discovery, volume monitoring, and label identification. It solves problems related to log management and analysis by providing features like fuzzy container-name matching and compact output. The tool accepts log queries as input and outputs analyzed log data, making it suitable for local or containerized deployments in environments where log analysis is critical.

Canonical page: https://skillsregistry.net/skills/snickery-loki-tail-mcp  
JSON: https://api.skillsregistry.net/v1/skills/snickery-loki-tail-mcp

## Description

An MCP server for Grafana Loki that enables LLMs to query, tail, and analyze logs, featuring fuzzy container-name matching, compact output, and tools for log patterns, volume, and label discovery. It can run as a local stdio server or a containerized HTTP service.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ax4nvrir0n)
- **Repository:** <https://github.com/snickery/loki-tail-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": "snickery-loki-tail-mcp"
    }
  }
}
```

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