# grafana-mcp

> Use this tool when you need to query Grafana logs using natural language, or when you want to efficiently access log data with automated detection of log sources and service labels. It solves problems related to log data analysis and provides read-only access to log data with intelligent caching. The tool takes natural-language queries as input and outputs relevant log data, making it ideal for use cases where fast and intuitive log analysis is required.

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

## Description

This MCP server enables natural-language querying of Grafana logs by automatically detecting log sources and service labels. It provides read-only access to log data with intelligent caching for efficient repeat queries.

## Trust

- **Trust score (0–1):** 0.88
- **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/tf988lctbv)
- **Repository:** <https://github.com/ninanung/grafana-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": "ninanung-grafana-mcp"
    }
  }
}
```

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