# eonik

> eonik — ai-eonik-mcp. Use this tool when you need to streamline brand research and brief drafting, as it provides access to brand facts, research, and performance data to inform draft briefs, requiring your approval for every edit. It solves problems related to inefficient research and brief creation, saving time and effort. The tool takes in research and data as inputs and outputs draft briefs for your review and approval.

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

## Description

Read brand, research, and performance facts; draft briefs. Never spends. You approve every cut.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

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

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