# com.userbrain/mcp

> Use this tool when you need to analyze and summarize user test data to uncover actionable insights and improve product development. It solves problems related to feedback analysis, data exploration, and insight generation, helping users make data-driven decisions. The tool takes user test data as input and outputs summarized feedback and actionable insights, streamlining the product development process.

Canonical page: https://skillsregistry.net/skills/com-userbrain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-userbrain-mcp

## Description

Explore your Userbrain user test data, summarize feedback, and uncover actionable insights faster.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.userbrain%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.userbrain.com/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": "com-userbrain-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-userbrain-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-userbrain-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