# Sales Analysis MCP Server

> Sales Analysis MCP Server — dmitriy-shtefan-fast-mcp-demo. Use this tool when you need to analyze sales data from CSV files and gain insights into revenue, profit, and product performance. It solves problems related to sales trend identification, product optimization, and revenue forecasting by providing metrics such as top products and monthly trends. The tool takes CSV files as input and outputs actionable sales data analysis using MCP tools and resources.

Canonical page: https://skillsregistry.net/skills/dmitriy-shtefan-fast-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/dmitriy-shtefan-fast-mcp-demo

## Description

Enables sales data analysis from CSV files using MCP tools, resources, and prompts, including metrics like revenue, profit, top products, and monthly trends.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eeorybko7l)
- **Repository:** <https://github.com/dmitriy-shtefan/fast-mcp-demo>

## 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": "dmitriy-shtefan-fast-mcp-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmitriy-shtefan-fast-mcp-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmitriy-shtefan-fast-mcp-demo/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