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Headline Vibes Analysis MCP Server

@fred-em

Repository

Basic information

Category

Other

Transports

stdio

Author

fred-em

About Headline Vibes Analysis MCP Server

MCP Server - get a heat check headlines

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

Headline Vibes Analysis MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Headline Vibes Analysis MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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