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Llmpulse MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

AI visibility analytics for brand mentions, citations, sentiment, and GEO reports

About

AI visibility analytics for brand mentions, citations, sentiment, and GEO reports

Remote endpoints: streamable-http: https://api.llmpulse.ai/api/v1/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-llm-pulse-llmpulse-mcp": {
      "url": "https://api.llmpulse.ai/api/v1/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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

The hosted endpoint also supports OAuth 2.0 with automatic discovery and dynamic client registration for compatible clients.

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

Gemini CLI

Install the extension from GitHub:

gemini extensions install https://github.com/LLM-Pulse/llmpulse-mcp

Gemini CLI connects to the hosted endpoint and opens the LLM Pulse OAuth flow when authentication is required.

GitHub Copilot and VS Code

In VS Code, run Chat: Install Plugin From Source from the Command Palette and enter:

https://github.com/LLM-Pulse/llmpulse-mcp

The Agent Plugin registers the hosted LLM Pulse MCP server for GitHub Copilot and uses its OAuth sign-in flow.

Kiro Power and Agent Plugin

This repository is also a portable Agent Plugin. In Kiro, choose Powers → Add Custom Power → Import power from GitHub and enter:

https://github.com/LLM-Pulse/llmpulse-mcp

Kiro connects to the hosted server and handles the OAuth sign-in flow.

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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