news-sentiment-mcp

# news-sentiment-mcp [](https://trendsmcp.ai/news-sentiment-data) [](https://modelcontextprotocol.io) [](https://trendsmcp.ai/mcp-server-for-claude) [](https://trendsmcp.ai/mcp-server-for-cursor) > **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](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](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://anysphere.cursor-deeplink/mcp/install?name=trends-mcp&config=eyJ1cmwiOiAiaHR0cHM6Ly9hcGkudHJlbmRzbWNwLmFpL21jcCIsICJ0cmFuc3BvcnQiOiAiaHR0cCJ9) **Cursor / Windsurf / Cline**   (`~/.cursor/mcp.json` or equivalent) ```json { "mcpServers": { "trends-mcp": { "url": "https://api.trendsmcp.ai/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } } ``` **VS Code / GitHub Copilot**   (`.vscode/mcp.json`) ```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 ```json { "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 | Tool | What it does | |------|-------------| | `get_trends` | Time-series for a keyword on this source | | `get_growth` | Growth % over 1W, 1M, 3M, 6M, 1Y periods | | `get_top_trends` | What is trending right now on this source | | `get_ranked_trends` | Top topics ranked by volume | --- ## 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](https://trendsmcp.ai/data-sources) --- ## Also works as a Python client Same API key works directly in Python - no MCP host needed. ```bash pip install news-sentiment-mcp ``` ```python 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](https://trendsmcp.ai/docs) --- ## License MIT © [Trends MCP](https://trendsmcp.ai)