# MCP Analytics

Connects a statistical analysis engine to your AI assistant. It generates documented reports with charts and re-runnable calculation scripts.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 8
- Author: embeddedlayers
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/embeddedlayers/mcp-analytics
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/mcp-analytics

## What it does

MCP Analytics processes structured datasets to answer business and statistical questions inside your client workspace. When you ask a question, the server evaluates the request first. It determines whether you need a quick data lookup or a deeper statistical test.

Calculations remain repeatable. Identical input files return identical output numbers. Every generated report includes the exact methodology and the code behind it, making it straightforward to re-run on future data files. Without a valid `X-API-Key` header, the server restricts access to discovery mode, letting you inspect tool definitions while blocking execution.

## Requirements
- Remote server: `https://api.mcpanalytics.ai/mcp/api-key`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http mcp-analytics https://api.mcpanalytics.ai/mcp/api-key
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add mcp-analytics --url https://api.mcpanalytics.ai/mcp/api-key
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mcp-analytics": {
            "url": "https://api.mcpanalytics.ai/mcp/api-key"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mcp-analytics": {
            "type": "http",
            "url": "https://api.mcpanalytics.ai/mcp/api-key"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http mcp-analytics https://api.mcpanalytics.ai/mcp/api-key
```

## When to use it
- pinpoint revenue shifts across sales channels
- identify customer accounts at risk of churn
- generate quarterly revenue forecasts from a spreadsheet
- save repeatable data reports with charts and underlying code

## Example prompts
- Inspect sales.csv and explain what caused the revenue gap between May and June
- Identify which accounts have the highest churn probability in this dataset
- Project next quarter's revenue using the historical numbers in this file

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