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Headline Vibes Analysis MCP Server

@fred-em

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

fred-em

关于 Headline Vibes Analysis MCP Server

MCP Server - get a heat check headlines

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

Headline Vibes Analysis MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Headline Vibes Analysis MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

评论

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