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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 ServersOfficial Registry1 stars1 forksPythonMITUpdated 4mo ago
ClaudeWave Trust Score
85/100
Trusted
Passed
  • 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
Use cases

MCP Servers overview

# 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

What people ask about news-sentiment-mcp

What is trendsmcp-ai/news-sentiment-mcp?

+

trendsmcp-ai/news-sentiment-mcp is mcp servers for the Claude AI ecosystem. MCP server for live news sentiment and volume data. Track media coverage tone and breakout news topics from Claude, Cursor, VS Code and more. It has 1 GitHub stars and its last recorded update is dated 2026-04-03.

How do I install news-sentiment-mcp?

+

You can install news-sentiment-mcp by cloning the repository (https://github.com/trendsmcp-ai/news-sentiment-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is trendsmcp-ai/news-sentiment-mcp safe to use?

+

Our security agent has analyzed trendsmcp-ai/news-sentiment-mcp and assigned a Trust Score of 85/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains trendsmcp-ai/news-sentiment-mcp?

+

trendsmcp-ai/news-sentiment-mcp is maintained by trendsmcp-ai. The last recorded GitHub activity is dated 2026-04-03, with 0 open issues.

Are there alternatives to news-sentiment-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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