# posbuzz-mcp

> Use this tool when you need to analyze cosmetics through natural language interactions, enabling AI assistants to access the PosBuzz SaaS API for tasks such as product analysis and recommendation. It takes in natural language inputs and outputs cosmetic analysis results, allowing for seamless integration with AI agents. This tool is ideal for use cases where human-like interaction with cosmetic analysis APIs is required.

Canonical page: https://skillsregistry.net/skills/pos-buzz-posbuzz-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pos-buzz-posbuzz-mcp

## Description

A local MCP server that exposes the PosBuzz cosmetic analysis SaaS API as MCP tools, enabling AI assistants like Claude Code to interact with the API through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y40xlnrtmo)
- **Repository:** <https://github.com/pos-buzz/posbuzz-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": "pos-buzz-posbuzz-mcp"
    }
  }
}
```

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