# LLM Pulse MCP Server

> LLM Pulse MCP Server — llm-pulse-llmpulse-mcp. Use this tool when you need to monitor brand performance and sentiment across AI search engines, solving problems such as tracking competitor activity and identifying areas for improvement. It takes in search engine data as input and outputs analytics on brand mentions, citations, and sentiment, providing valuable insights for informed decision-making. Ideal for use in digital marketing and brand management contexts.

Canonical page: https://skillsregistry.net/skills/llm-pulse-llmpulse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llm-pulse-llmpulse-mcp

## Description

Monitors brand mentions, citations, sentiment, competitor share of voice, and GEO performance across AI search engines.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/rislnzl145)
- **Repository:** <https://github.com/LLM-Pulse/llmpulse-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": "llm-pulse-llmpulse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llm-pulse-llmpulse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llm-pulse-llmpulse-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