news-sentiment-mcp

News sentiment and volume data for AI Understand how the news is covering any topic - and whether that coverage is positive or negative. Sentiment scores, media volume trends, and historical coverage data structured for AI analysis.

Full docs and live demo: https://trendsmcp.ai/news-sentiment-data

Part of [Trends MCP](https://trendsmcp.ai) - the MCP server for live trend data across 12+ sources. See the main repo: https://github.com/trendsmcp/trends-mcp

Get started in 2 steps

Step 1: Get your free API key at [trendsmcp.ai](https://trendsmcp.ai) 100 requests/day, no credit card required.

Step 2: Add to your AI client (replace YOUR_API_KEY):

**+ Add to Cursor (one click)**

Cursor / Windsurf / Cline   (~/.cursor/mcp.json or equivalent)

{
  "mcpServers": {
    "trends-mcp": {
      "url": "https://api.trendsmcp.ai/mcp",
      "transport": "http",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

VS Code / GitHub Copilot   (.vscode/mcp.json)

{
  "servers": {
    "trends-mcp": {
      "type": "http",
      "url": "https://api.trendsmcp.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Claude Desktop   (claude_desktop_config.json) User → Settings → Developer → Edit Config — add inside mcpServers

{
  "mcpServers": {
    "trends-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.trendsmcp.ai/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Claude.ai (browser)   Settings -> Connectors -> Add custom connector:

https://api.trendsmcp.ai/mcp

Example query

After connecting, ask your AI:

get_growth(keyword='tesla', source='news sentiment, news volume', percent_growth=['3M'])

Available tools

FAQ

What news data does Trends MCP provide?

Two signals: news volume (how much coverage a topic is receiving) and news sentiment (whether that coverage skews positive, neutral, or negative). Both are normalized and returned as time series.

How is sentiment scored?

Sentiment is derived from NLP analysis of news article headlines and summaries, scored on a scale from -1 (strongly negative) to +1 (strongly positive). Trends MCP normalizes this to a 0-100 scale for consistency.

Can I track sentiment for a company over earnings periods?

Yes. Query a company name or ticker and the sentiment series will show how media tone shifted around earnings announcements, product launches, or regulatory events.

Which news sources are included?

Major English-language news outlets, financial media, and technology publications. The signal aggregates across sources rather than tracking individual outlets.

All data sources

Trends MCP covers 12+ sources in one connection: Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News Sentiment, Web Traffic, App Downloads, Steam, npm, and more.

Browse all: https://trendsmcp.ai/data-sources

Also works as a Python client

Same API key works directly in Python - no MCP host needed.

pip install news-sentiment-mcp

import os
from news_sentiment_mcp import TrendsMcpClient, SOURCE

client = TrendsMcpClient(api_key=os.environ["TRENDSMCP_API_KEY"])

series  = client.get_trends(source=SOURCE, keyword="your keyword")
growth  = client.get_growth(source=SOURCE, keyword="your keyword", percent_growth=["1M", "3M", "12M"])
top     = client.get_top_trends(type="News Sentiment", limit=10)

Full Python docs: trendsmcp.ai/docs

License

MIT © Trends MCP