# ConsumerSim MCP Proxy

> ConsumerSim MCP Proxy — runriotcomeon-consumersim-mcp. Use this tool when you need to predict consumer spending patterns and forecast sales across different regions and time periods. It solves problems related to market trend analysis, sales forecasting, and resource allocation by providing accurate spending predictions. The tool takes in regional and temporal inputs and outputs forecast data, making it ideal for use cases such as marketing strategy development and budget planning.

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

## Description

Exposes forecast lookup tools for consumer spending predictions across regions and time periods.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hes0za0ss4)
- **Repository:** <https://github.com/RunRiotComeOn/ConsumerSim-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": "runriotcomeon-consumersim-mcp"
    }
  }
}
```

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