LLM-Pulse/llmpulse-mcp

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
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:
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:
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
Gemini CLI
Install the extension from GitHub:
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:
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:
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