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Headline Vibes Analysis MCP Server

@fred-em

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

fred-em

Headline Vibes Analysis MCP Server について

MCP Server - get a heat check headlines

#headline-vibes#sentiment-analysis#news-analysis

Headline Vibes Analysis MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "headline-vibes": {
      "command": "node",
      "args": [
        "/path/to/headline-vibes/build/index.mjs"
      ],
      "env": {
        "NEWS_API_KEY": ""
      }
    }
  }
}

Headline Vibes Analysis MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Headline Vibes Analysis MCP Server?

Headline Vibes Analysis MCP Server is a Model Context Protocol server that analyzes investor sentiment in US news headlines fetched from EventRegistry (newsapi.ai). It supports daily and monthly analysis modes, produces structured outputs with diagnostics, and runs over stdio or HTTP (Railway-ready).

How to use Headline Vibes Analysis MCP Server?

Install Node.js v18+, obtain an EventRegistry API key, install dependencies, and build the project. Configure the environment with NEWS_API_KEY and TRANSPORT (stdio or http). Invoke the tools analyze_headlines (daily) with a natural language date or YYYY-MM-DD, and analyze_monthly_headlines with startMonth and endMonth parameters.

Key features of Headline Vibes Analysis MCP Server

  • Curated US newsroom coverage with investor relevance filtering
  • Dual sentiment scores (general + investor) normalized to 0–10 scale
  • Political-leaning breakdowns, source distributions, and sampling diagnostics
  • Natural-language date parsing for daily requests
  • Structured JSON outputs compatible with MCP structuredContent
  • Built-in token budgeting and rate-limit telemetry

Use cases of Headline Vibes Analysis MCP Server

  • Daily investor sentiment snapshot for a single day
  • Monthly aggregation tracking sentiment trends between months
  • Political leaning analysis across news sources over time
  • Source distribution and sampling diagnostics for research

よくある質問

1

What data source does Headline Vibes Analysis MCP Server use?

It uses EventRegistry (newsapi.ai) to fetch US news headlines with investor relevance filtering.

2

What are the runtime requirements?

Node.js v18+ (LTS recommended) and an EventRegistry API key.

3

How do I switch between transport modes?

Set the `TRANSPORT` environment variable to `"stdio"` for stdio mode or `"http"` for HTTP mode (Railway-ready).

4

How does the sentiment scoring work?

It provides dual scores (general and investor) normalized to a 0–10 scale, along with political-leaning breakdowns.

5

Are there built-in rate limits or token budgets?

Yes, the server includes built-in token budgeting and rate-limit telemetry for efficient API usage.

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