# hn-developer-sentiment-mcp

> hn-developer-sentiment-mcp — digitalgremlin-hn-developer-sentiment-mcp. Use this tool when you need to analyze developer sentiment on Hacker News, providing insights into brand reputation, tool adoption, and library usage. It solves problems related to market research, competitive analysis, and community engagement by offering sentiment summaries, mention searches, feature requests, and trending discussion tracking. The tool takes in brand, tool, or library names as input and outputs detailed sentiment analysis and discussion metrics.

Canonical page: https://skillsregistry.net/skills/digitalgremlin-hn-developer-sentiment-mcp  
JSON: https://api.skillsregistry.net/v1/skills/digitalgremlin-hn-developer-sentiment-mcp

## Description

A deterministic read on Hacker News developer sentiment for any brand, tool, or library, exposing four MCP tools for sentiment summary, mention search, feature requests, and trending discussions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jgzwf1ny2n)
- **Repository:** <https://github.com/digitalgremlin/hn-developer-sentiment-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": "digitalgremlin-hn-developer-sentiment-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/digitalgremlin-hn-developer-sentiment-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/digitalgremlin-hn-developer-sentiment-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