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