Is the underlying application source code in this repo?

No — this repo is only a small runnable wrapper for the hosted service; the LLM Pulse application itself is private.

Can I run it in Docker?

Yes — build with docker build -t llmpulse-mcp . and run it passing LLMPULSE_API_KEY as an environment variable.

What data can it access?

Project/competitor dimensions, AI visibility and mention/citation rates, sentiment, share of voice, and (plan-dependent) recommendations, GEO Writer, Search Console, and AI traffic data.

Llmpulse MCP

geoai-visibilitybrand-monitoringanalyticsseo

LLM Pulse's MCP wrapper exposes brand-visibility analytics across AI search engines — mentions, citations, sentiment, competitor share of voice, and GEO performance — as MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This is a runnable wrapper around the hosted LLM Pulse MCP server, an AI visibility analytics platform that tracks brand mentions, citations, sentiment, competitor share of voice, and GEO (generative engine optimization) performance across AI search engines. You can connect directly to the hosted Streamable HTTP endpoint with a bearer API key, or run the local stdio wrapper (with Docker support) which still starts and exposes a read-only setup/status tool even without an API key, so registries can verify the server responds without a secret.

Use cases

Track how often a brand is mentioned or cited across AI search engines

Compare competitor share of voice for a given topic

Pull sentiment data for recent brand mentions

Check AI-search visibility metrics tied to a Search Console property

Key features

Brand mention, citation, and sentiment tracking across AI search engines

Competitor share-of-voice and top-source analytics

GEO (generative engine optimization) performance metrics

Hosted Streamable HTTP endpoint or local stdio wrapper (with Docker)

Starts without an API key in a read-only setup/status mode for introspection

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Llmpulse MCP.

Extracted Tool Capabilities

Brand mention, citation, and sentiment tracking across AI search engines

Competitor share-of-voice and top-source analytics

GEO (generative engine optimization) performance metrics

Hosted Streamable HTTP endpoint or local stdio wrapper (with Docker)

Starts without an API key in a read-only setup/status mode for introspection

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

text

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:

text

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:

Terminal

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

Terminal

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

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

Example MCP Client Configuration

config.json

{
  "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.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

11d ago

Most recent push to the default branch.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Llmpulse MCP

Yes for full functionality — API keys are available on Scale plans and above; without one, the wrapper still starts and exposes a read-only setup/status tool.

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Technical Specs & Signals

CategoryMarketing

PricingPaid

11/11 checks healthy over the last 32d

51Quality signal: Good · 51/100How this signal is calculated ▾

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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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Documentation & tools24/30

Adoption & activity4/15

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Overview

Use cases

Track how often a brand is mentioned or cited across AI search engines

Compare competitor share of voice for a given topic

Pull sentiment data for recent brand mentions

Check AI-search visibility metrics tied to a Search Console property

Key features

Brand mention, citation, and sentiment tracking across AI search engines

Competitor share-of-voice and top-source analytics

GEO (generative engine optimization) performance metrics

Hosted Streamable HTTP endpoint or local stdio wrapper (with Docker)

Starts without an API key in a read-only setup/status mode for introspection

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

text

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:

text

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:

Terminal

npm install
LLMPULSE_API_KEY=llmpulse_your_key_here npm start

Docker

Terminal

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

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

Example MCP Client Configuration

config.json

{
  "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.