# io.github.mshegolev/kibana-mcp

> Use this tool when you need to efficiently search and analyze logs, perform data aggregations, and create visualizations in a user-friendly dashboard. It solves problems related to log management, data discovery, and visualization, providing insights into large datasets. With support for index discovery and customizable dashboards, it takes inputs from Elasticsearch and outputs actionable data visualizations and search results.

Canonical page: https://skillsregistry.net/skills/io-github-mshegolev-kibana-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mshegolev-kibana-mcp

## Description

Kibana/Elasticsearch MCP — log search, aggregations, index discovery, dashboards.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mshegolev%2Fkibana-mcp)
- **Repository:** <https://github.com/mshegolev/kibana-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": "io-github-mshegolev-kibana-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mshegolev-kibana-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mshegolev-kibana-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