# TrendPulse

> TrendPulse — akzar1el-trendpulse. Use this tool when you need to analyze news trends and search interest over time, and want to summarize relevant articles without relying on external servers. TrendPulse solves problems related to market research, topic monitoring, and content analysis by providing historical data from Google News and Trends. It takes keywords, locations, or topics as input and outputs summarized articles and search-interest histories, making it ideal for researchers and analysts working with sensitive or local data.

Canonical page: https://skillsregistry.net/skills/akzar1el-trendpulse  
JSON: https://api.skillsregistry.net/v1/skills/akzar1el-trendpulse

## Description

TrendPulse is a local MCP server that queries Google News RSS feeds by keyword, location, or topic and retrieves Google Trends search-interest history going back up to five years. It can summarize articles via LLM sampling or NLP, and runs entirely on the user's machine via the mcp-trendpulse PyPI package.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/akzar1el-trendpulse)
- **Repository:** <https://github.com/akzar1el/mcp-trendpulse>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "akzar1el-trendpulse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akzar1el-trendpulse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akzar1el-trendpulse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
