# Business Analytics RAG

> Use this tool when you need to analyze business data and retrieve relevant knowledge through natural language interactions. It solves problems by combining statistical operations, such as mean calculation and linear regression, with knowledge retrieval from business documents, providing outputs in the form of analyzed data and relevant business information. The tool accepts CSV business data and natural language queries as inputs, making it ideal for business intelligence workflows that require both quantitative analysis and contextual knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/business-analytics-rag  
JSON: https://api.skillsregistry.net/v1/skills/business-analytics-rag

## Description

Business analytics and knowledge retrieval system that combines MCP servers for data analysis and RAG (Retrieval-Augmented Generation) capabilities with flexible LLM backend support for both Google Gemini and custom localhost APIs. The implementation provides two specialized MCP servers: a business analytics server that performs statistical operations like mean calculation, correlation analysis, and linear regression on CSV business data, and a RAG server that searches through business knowledge documents for terms, definitions, and company policies. Built with Python using pandas for data processing and supporting both Gemini API and custom OpenAI-compatible endpoints, it's designed for business intelligence workflows where users need to combine quantitative data analysis with contextual business knowledge retrieval through natural language interactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/business-analytics-rag)
- **Repository:** <https://github.com/ansh-riyal/mcp-rag>

## 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": "business-analytics-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/business-analytics-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/business-analytics-rag/pull`

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