Headline Vibes Analysis MCP Server
@fred-em
MCP Server - get a heat check headlines
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
FAQ from Headline Vibes Analysis MCP Server
What data source does Headline Vibes Analysis MCP Server use?
It uses EventRegistry (newsapi.ai) to fetch US news headlines with investor relevance filtering.
What are the runtime requirements?
Node.js v18+ (LTS recommended) and an EventRegistry API key.
How do I switch between transport modes?
Set the TRANSPORT environment variable to "stdio" for stdio mode or "http" for HTTP mode (Railway-ready).
How does the sentiment scoring work?
It provides dual scores (general and investor) normalized to a 0–10 scale, along with political-leaning breakdowns.
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.
