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trendsmcp-ai

news-sentiment-mcp

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MCP server for live news sentiment and volume data. Track media coverage tone and breakout news topics from Claude, Cursor, VS Code and more.

MCP ServersRegistry oficial1 estrellas1 forksPythonMITActualizado 4mo ago
ClaudeWave Trust Score
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  • Open-source license (MIT)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 8/19/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · news-sentiment-mcp
Claude Code CLI
claude mcp add news-sentiment-mcp -- python -m news-sentiment-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "news-sentiment-mcp": {
      "command": "python",
      "args": ["-m", "news-sentiment-mcp"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install news-sentiment-mcp
Casos de uso

Resumen de MCP Servers

# news-sentiment-mcp

[![News Sentiment](https://img.shields.io/badge/News%20Sentiment-1DA1F2?style=flat-square)](https://trendsmcp.ai/news-sentiment-data)
[![MCP](https://img.shields.io/badge/MCP-compatible-blue?style=flat-square)](https://modelcontextprotocol.io)
[![Works with Claude](https://img.shields.io/badge/Claude-supported-orange?style=flat-square)](https://trendsmcp.ai/mcp-server-for-claude)
[![Works with Cursor](https://img.shields.io/badge/Cursor-supported-purple?style=flat-square)](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** &nbsp; (`~/.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** &nbsp; (`.vscode/mcp.json`)
```json
{
  "servers": {
    "trends-mcp": {
      "type": "http",
      "url": "https://api.trendsmcp.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}
```

**Claude Desktop** &nbsp; (`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) &nbsp; 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 &copy; [Trends MCP](https://trendsmcp.ai)
ai-toolsalternative-dataanalyticsapiasyncclaudecursorinvestment-researchllm-toolsmarket-researchmcpmodel-context-protocolnews-sentimentnlpno-scrapingpypipythonsentiment-analysistrend-datatrendsmcp

Lo que la gente pregunta sobre news-sentiment-mcp

¿Qué es trendsmcp-ai/news-sentiment-mcp?

+

trendsmcp-ai/news-sentiment-mcp es mcp servers para el ecosistema de Claude AI. MCP server for live news sentiment and volume data. Track media coverage tone and breakout news topics from Claude, Cursor, VS Code and more. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-04-03.

¿Cómo se instala news-sentiment-mcp?

+

Puedes instalar news-sentiment-mcp clonando el repositorio (https://github.com/trendsmcp-ai/news-sentiment-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar trendsmcp-ai/news-sentiment-mcp?

+

Nuestro agente de seguridad ha analizado trendsmcp-ai/news-sentiment-mcp y le ha asignado un Trust Score de 85/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene trendsmcp-ai/news-sentiment-mcp?

+

trendsmcp-ai/news-sentiment-mcp es mantenido por trendsmcp-ai. La última actividad registrada en GitHub es del 2026-04-03, con 0 issues abiertos.

¿Hay alternativas a news-sentiment-mcp?

+

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