# G2 Product Analytics MCP

> G2 Product Analytics MCP — maevelynz-g2-product-analytics-mcp. Use this tool when you need to analyze synthetic product data in a controlled environment, investigating metrics and trends without exposing underlying SQL infrastructure. It solves problems related to data governance and security, providing a safe interface for slicing and comparing product data. Ideal for use cases requiring restricted data access, such as product performance analysis and metric comparisons.

Canonical page: https://skillsregistry.net/skills/maevelynz-g2-product-analytics-mcp  
JSON: https://api.skillsregistry.net/v1/skills/maevelynz-g2-product-analytics-mcp

## Description

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rg4voxnxr8)
- **Repository:** <https://github.com/maevelynz/g2-product-analytics-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": "maevelynz-g2-product-analytics-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maevelynz-g2-product-analytics-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maevelynz-g2-product-analytics-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