# Headline Vibes Analysis MCP Server

> Use this tool when you need to analyze public sentiment trends through news headlines from major US publications. It solves problems related to understanding audience opinions and emotions by processing standard and natural language date inputs. The tool provides outputs enabling insights into sentiment shifts and trends, making it ideal for context-aware applications requiring real-time public opinion analysis.

Canonical page: https://skillsregistry.net/skills/fred-em-headline-vibes  
JSON: https://api.skillsregistry.net/v1/skills/fred-em-headline-vibes

## Description

Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jkojbe4jve)
- **Repository:** <https://github.com/fred-em/headline-vibes>

## 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": "fred-em-headline-vibes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fred-em-headline-vibes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fred-em-headline-vibes/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