How do I install LLM Pulse?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does LLM Pulse need an API key?

No required environment variable is listed on this record.

What transport does LLM Pulse use?

LLM Pulse is reached over HTTP.

When was LLM Pulse last checked?

Last checked 2026-11-09. AI visibility analytics for brand mentions, citations, sentiment, and GEO reports

LLM Pulse MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

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

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http io.github.llm-pulse-llmpulse-mcp https://api.llmpulse.ai/api/v1/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.llm-pulse-llmpulse-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://api.llmpulse.ai/api/v1/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.0
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

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

API docs: https://api.llmpulse.ai/api-docs
OpenAPI: https://api.llmpulse.ai/openapi.json
Product site: https://llmpulse.ai
Privacy policy: https://llmpulse.ai/privacy

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].