# Buron

> Use this tool when you need to measure and analyze marketing performance across multiple channels. Buron solves problems related to data fragmentation and limited insights by providing unified dashboards, cross-channel queries, and integrations. It takes in marketing data as input and outputs actionable knowledge files to inform data-driven decisions.

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

## Description

Marketing-measurement MCP: dashboards, cross-channel queries, integrations, and knowledge files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-06-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.buron%2Fburon)

## Use it

MCP endpoint published by the skill: `https://app.buron.ai/api/mcp`

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-buron-buron"
    }
  }
}
```

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