mcpField
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LLM Pulse

LLM Pulse

Remote
api.llmpulse.aiBusiness & Marketing0Updated 6w ago

About LLM Pulse

LLM Pulse is an AI visibility analytics platform for teams tracking how brands appear across AI search engines. It reports mentions, citations, sentiment, competitor share of voice, and GEO performance.

Key features

  1. 01Track brand mentions and citations
  2. 02Measure visibility and mention rates
  3. 03Analyze sentiment and source data
  4. 04Compare competitor share of voice
  5. 05Access recommendations and GEO Writer data
  6. 06Review AI traffic and Search Console data

Use cases

  1. 01Monitor a brand's presence in AI search
  2. 02Compare visibility with competitors
  3. 03Review citations, sources, and sentiment
  4. 04Inspect GEO performance and AI traffic

MCP support

The project provides a local wrapper for the hosted LLM Pulse MCP server, as well as client options that connect directly to its Streamable HTTP endpoint. The MCP tools expose analytics data subject to plan access.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.llmpulse.ai/api/v1/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.llmpulse.ai/api/v1/mcpAuth required

Tools

Details

From the project 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 [email protected].

Comments

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