# socialpulse-mcp

> socialpulse-mcp — marilynceo-socialpulse-mcp. Use this tool when you need to analyze social media sentiment and monitor brand reputation, solving problems such as tracking trends, comparing competitors, and identifying influencers. It takes in social media mentions and outputs sentiment analysis, trend tracking, and weekly health reports. Use it in contexts where social media monitoring is crucial, such as marketing, customer service, or brand management.

Canonical page: https://skillsregistry.net/skills/marilynceo-socialpulse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-socialpulse-mcp

## Description

Social media sentiment & brand monitoring for AI agents u2014 scan mentions, analyze sentiment, track trends, compare competitors, detect spikes, identify influencers, and generate weekly health reports. Powered by local LLM (Gemma 3).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/socialpulse-mcp)

## 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": "marilynceo-socialpulse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marilynceo-socialpulse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marilynceo-socialpulse-mcp/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