# @boxverse_ai/listenme-mcp-server

> Use this tool when you need to manage product research tasks, review user feedback, and generate insights. It provides 21 tools to streamline task management and feedback analysis, helping you make data-driven decisions. Ideal for product researchers and developers seeking to optimize their research workflows and gain valuable user insights.

Canonical page: https://skillsregistry.net/skills/chesterkuo-boxverseai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chesterkuo-boxverseai-mcp-server

## Description

MCP server for ListenME — product research task management via Boxverse AI. Provides 21 tools for managing research tasks, reviewing user feedback, and generating insights.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k9syrvrvzp)
- **Repository:** <https://github.com/chesterkuo/boxverseai-mcp-server>

## 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": "chesterkuo-boxverseai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chesterkuo-boxverseai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chesterkuo-boxverseai-mcp-server/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