LLM Pulse
AI visibility analytics for brand mentions, citations, sentiment, and GEO reporting.
Data & Analyticsnpx mcp-remote https://api.llmpulse.ai/api/v1/mcp --header "Authorization: Bearer YOUR_API_KEY"{
"mcpServers": {
"llm-pulse": {
"type": "http",
"url": "https://api.llmpulse.ai/api/v1/mcp",
"headers": {
"Authorization": "Bearer llmpulse_your_key_here"
}
}
}
}LLM Pulse is a community MCP server that connects AI assistants like Claude to ai visibility analytics for brand mentions, citations, sentiment, and geo reporting. It runs locally on your machine, keeping your data private and giving you full control over the connection. Adding it to your setup expands what Claude can do without any extra coding.
About LLM Pulse
LLM Pulse provides hosted MCP access to AI visibility analytics, including brand mentions, citations, sentiment, share of voice, recommendations, GEO Writer data, Search Console, and AI traffic where plan access allows. It supports a Streamable HTTP endpoint for AI clients and headless integrations.
Who Should Use LLM Pulse?
- 1Extend Claude and other AI assistants with new capabilities
- 2Automate tasks that previously required manual steps
- 3Connect your existing tools to an AI workflow
- 4Reduce repetitive work by letting AI interact with your services
How to Install LLM Pulse
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.