MCP Server
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
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
- Install dependencies and build:
npm install npm run build - 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" } } } } - For HTTP (Railway) deployments, set
TRANSPORT=http,HOST=0.0.0.0,PORT=<port>, and optionallyALLOWED_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
- Set environment variables (
TRANSPORT,HOST,PORT,NEWS_API_KEY, optionalALLOWED_HOSTS,ALLOWED_ORIGINS,LOG_LEVEL). - Build once locally (
npm run build) or via Railway’s build step. - Start with
npm run start. - Health probe:
GET /healthzreturns200 ok.
See docs/railway.md for the full playbook.
License
MIT
Quick Install
Quick Actions
Key Features
Model Context Protocol
Secure Communication
Real-time Updates
Open Source