# Kyomi

> Use this tool when you need to connect and analyze complex datasets from various sources, and visualize insights through interactive dashboards. It solves problems related to data monitoring, forecasting, and trend analysis, providing automated reports and alerts to notify users of significant changes. Ideal for use cases requiring advanced data analysis and predictive capabilities to inform business decisions.

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

## Description

Connect various data sources to visualize, monitor, and analyze complex datasets through interactive dashboards. Automate data monitoring with scheduled reports and alerts that notify you of significant changes or trends. Leverage advanced forecasting and semantic search to uncover hidden insights and predict future business outcomes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kyomi/kyomi-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": "kyomi-kyomi-mcp"
    }
  }
}
```

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