LLM-Pulse/llmpulse-mcp

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🎖️ ☁️ - Hosted MCP server for LLM Pulse AI visibility analytics, including brand mentions, citations, sentiment, share of voice, recommendations, GEO Writer, Search Console, and AI traffic via a Streamable HTTP endpoint.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "llm-pulse-llmpulse-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "llm-pulse-llmpulse-mcp"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

LLM Pulse MCP Server

LLM Pulse is an AI visibility analytics platform for monitoring brand mentions, citations, sentiment, competitor share of voice, and GEO performance across AI search engines.

This repository contains a small runnable wrapper for the hosted LLM Pulse MCP server. It does not contain the private LLM Pulse application source code.

Hosted MCP Endpoint

https://api.llmpulse.ai/api/v1/mcp

Transport: Streamable HTTP

Authentication: Bearer token

Create an LLM Pulse API key in the app, then send it as:

Authorization: Bearer llmpulse_your_key_here

API keys are available on Scale plans and above.

Local MCP Wrapper

Run the wrapper with an API key to expose the hosted LLM Pulse MCP tools through stdio:

npm install
LLMPULSE_API_KEY=llmpulse_your_key_here npm start

Without LLMPULSE_API_KEY, the wrapper still starts and exposes a read-only setup/status tool. This lets registries verify that the server starts and responds to MCP introspection without requiring a secret.

Docker

docker build -t llmpulse-mcp .
docker run --rm -i -e LLMPULSE_API_KEY=llmpulse_your_key_here llmpulse-mcp

What It Provides

  • Project and competitor dimensions
  • AI visibility, mention rate, citation rate, and weighted visibility metrics
  • Brand mentions, citations, sources, sentiments, and prompt execution data
  • Share of voice and top source analytics
  • Recommendation, GEO Writer, Search Console, and AI traffic data where plan access allows

Documentation

Example MCP Client Configuration

{
  "mcpServers": {
    "llm-pulse": {
      "type": "streamable-http",
      "url": "https://api.llmpulse.ai/api/v1/mcp",
      "headers": {
        "Authorization": "Bearer llmpulse_your_key_here"
      }
    }
  }
}

Support

Questions? Contact info@llmpulse.ai.

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