# The Culture MCP Server

> The Culture MCP Server — dc-4nderson-theculture-mcp. Use this tool when you need to integrate fashion-focused social media app functionality into your workflows, leveraging Supabase database operations and Hugging Face model inference to automate tasks. It solves problems related to data management and AI-driven insights in the fashion industry, providing a seamless interface for Claude Code, n8n agents, and the Larry orchestrator. This server takes in API requests and outputs processed data and model predictions, ideal for use cases requiring automated fashion trend analysis or social media content generation.

Canonical page: https://skillsregistry.net/skills/dc-4nderson-theculture-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dc-4nderson-theculture-mcp

## Description

MCP server for The Culture, a fashion-focused social media app, exposing Supabase database operations and Hugging Face model inference as tools for use in Claude Code, n8n agents, and the Larry orchestrator.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lbtybyu70v)
- **Repository:** <https://github.com/Dc-4nderson/TheCulture_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": "dc-4nderson-theculture-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dc-4nderson-theculture-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dc-4nderson-theculture-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