Headline Vibes
FreeNot checkedIntegrates with major US news sources to analyze headline sentiment, providing normalized scores and source distribution for media trend insights.
About
Integrates with major US news sources to analyze headline sentiment, providing normalized scores and source distribution for media trend insights.
README
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 and docs/claude-desktop.md for Claude Desktop integration steps.
License
MIT
Installing Headline Vibes
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/fred-em/headline-vibesFAQ
Is Headline Vibes MCP free?
Yes, Headline Vibes MCP is free — one-click install via Unyly at no cost.
Does Headline Vibes need an API key?
No, Headline Vibes runs without API keys or environment variables.
Is Headline Vibes hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Headline Vibes in Claude Desktop, Claude Code or Cursor?
Open Headline Vibes on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
ARA
Generate images, video and audio from any AI agent — one connector.
by ARAOmni Video
An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/
by buildwithtazaYouTube
Transcripts, channel stats, search
by YouTubeEverArt
AI image generation using various models.
by modelcontextprotocolCompare Headline Vibes with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All media MCPs
