news-sentiment-mcp
news-sentiment-mcp
面向 AI 的新闻情感与热度数据 了解新闻如何报道任何话题——以及报道是正面还是负面。情感评分、媒体报道热度趋势以及历史报道数据,专为 AI 分析而构建。
完整文档与在线演示: https://trendsmcp.ai/news-sentiment-data
属于 Trends MCP —— 涵盖 12+ 数据源的实时趋势 MCP 服务器。 查看主仓库: https://github.com/trendsmcp/trends-mcp
快速开始(两步)
第一步: 在 trendsmcp.ai 免费获取 API 密钥 每天 100 次请求,无需信用卡。
第二步: 添加至你的 AI 客户端(替换 YOUR_API_KEY):
Cursor / Windsurf / Cline (~/.cursor/mcp.json 或等效文件)
{
"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)
用户 → 设置 → 开发者 → 编辑配置——在 mcpServers 内添加
{
"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(浏览器) 设置 -> 连接器 -> 添加自定义连接器:
https://api.trendsmcp.ai/mcpRelated MCP server: news-sentiment-mcp
示例查询
连接后,向你的 AI 提问:
get_growth(keyword='tesla', source='news sentiment, news volume', percent_growth=['3M'])可用工具
工具 | 功能说明 |
| 该数据源上某个关键词的时间序列数据 |
| 1 周、1 月、3 月、6 月、1 年周期的增长率百分比 |
| 该数据源当前的热门趋势 |
| 按热度排序的热门话题 |
常见问题
Trends MCP 提供哪些新闻数据?
两种信号:新闻热度(某个话题获得多少报道)和新闻情感(报道是偏向正面、中性还是负面)。两者都被归一化并以时间序列形式返回。
情感是如何评分的?
情感源自对新闻文章标题和摘要的 NLP 分析,评分范围为 -1(强烈负面)到 +1(强烈正面)。Trends MCP 将其归一化到 0–100 分,以保持一致性。
能否追踪某公司在财报期间的情感变化?
可以。查询公司名称或股票代码,情感序列将显示媒体语调在财报发布、产品发布或监管事件前后的变化。
包含哪些新闻来源?
主要英语新闻媒体、财经媒体和科技出版物。数据信号跨来源聚合,而非追踪单个媒体。
所有数据源
Trends MCP 一次连接覆盖 12+ 数据源: Google 搜索、YouTube、TikTok、Reddit、亚马逊、维基百科、 新闻情感、网站流量、应用下载量、Steam、npm 等。
浏览全部: https://trendsmcp.ai/data-sources
也可作为 Python 客户端使用
相同的 API 密钥可直接在 Python 中使用,无需 MCP 主机。
pip install news-sentiment-mcpimport 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)Python 完整文档:trendsmcp.ai/docs
许可证
MIT © Trends MCP
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