# ThriveStack PLG CRM

> Use this tool when you need to analyze product-led growth (PLG) metrics and customer relationships. It solves problems related to understanding account activity, feature adoption, and lead generation by providing insights into key performance indicators such as monthly active users (MAU) and monthly trailing users (MTU). With inputs including account data and outputs including actionable analytics, use ThriveStack PLG CRM to inform data-driven decisions and optimize your PLG strategy.

Canonical page: https://skillsregistry.net/skills/io-github-thrivestack-public-thrivestack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-thrivestack-public-thrivestack-mcp

## Description

ThriveStack PLG CRM analytics — query accounts, MAU/MTU, feature adoption, and PLG leads.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-06-16

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Thrivestack-public%2Fthrivestack-mcp)
- **Repository:** <https://github.com/Thrivestack-public/thrivestack-mcp>

## Use it

MCP endpoint published by the skill: `https://api.app.thrivestack.ai/mcp`

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": "io-github-thrivestack-public-thrivestack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-thrivestack-public-thrivestack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-thrivestack-public-thrivestack-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