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Headline Vibes Analysis MCP Server

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

6
GitHub Stars
11/22/2025
Last Updated
MCP Server Configuration
1{
2 "name": "headline-vibes",
3 "command": "node",
4 "args": [
5 "/path/to/headline-vibes/build/index.mjs"
6 ],
7 "env": {
8 "NEWS_API_KEY": "your-api-key-here"
9 },
10 "disabled": false,
11 "autoApprove": []
12}
JSON12 lines
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README Documentation

Headline Vibes — EventRegistry MCP Server

Headline Vibes 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).

Features

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

Prerequisites

  • Node.js v18+ (LTS recommended)
  • EventRegistry API key (https://newsapi.ai)

Setup

  1. Install dependencies and build:
    npm install
    npm run build
    
  2. Configure environment variables (stdio example):
    {
      "mcpServers": {
        "headline-vibes": {
          "command": "node",
          "args": ["/absolute/path/headline-vibes/build/index.mjs"],
          "env": {
            "NEWS_API_KEY": "your-eventregistry-key",
            "TRANSPORT": "stdio"
          }
        }
      }
    }
    
  3. For HTTP (Railway) deployments, set TRANSPORT=http, HOST=0.0.0.0, PORT=<port>, and optionally ALLOWED_HOSTS/ALLOWED_ORIGINS.

Available Tools

analyze_headlines

Daily sentiment snapshot for a single day. Arguments: { "input": string }.

  • Accepts natural language or YYYY-MM-DD.
  • Returns investor/general scores, synopses, distributions, sample headlines, and diagnostics.

analyze_monthly_headlines

Monthly aggregation between two months. Arguments: { "startMonth": "YYYY-MM", "endMonth": "YYYY-MM" }.

  • Outputs per-month political sentiments, headline counts, and token/sampling diagnostics.

JSON schemas powering structured results live in src/schemas/headlines.ts.

Development & Testing

  • Watch mode: npm run watch
  • Stdio run: NEWS_API_KEY=... npm run start:stdio
  • HTTP run: TRANSPORT=http HOST=0.0.0.0 PORT=8787 NEWS_API_KEY=... npm run start:http
  • Smoke check EventRegistry connectivity: node ./build/scripts/smoke.mjs 2025-02-01
  • Unit tests (Vitest): npm test

Railway Deployment

  1. Set environment variables (TRANSPORT, HOST, PORT, NEWS_API_KEY, optional ALLOWED_HOSTS, ALLOWED_ORIGINS, LOG_LEVEL).
  2. Build once locally (npm run build) or via Railway’s build step.
  3. Start with npm run start.
  4. Health probe: GET /healthz returns 200 ok.

See docs/railway.md for the full playbook.

License

MIT

Quick Install

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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