MCP.Market

LLM Pulse MCP server

online · 100% uptime
by LLM-Pulse·io.github.LLM-Pulse/llmpulse-mcp·v1.0.0·1 stars

AI visibility analytics for brand mentions, citations, sentiment, and GEO reports

A95/100grade A
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Safety scan
A95/100

full report

Adoption
Growing

1 stars

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LLM Pulse tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 264ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 7 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 95/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLM Pulse compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
95/100
higher than 97% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
102 ms
faster than 86% of 2,331 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers

Install LLM Pulse in Claude Code, Cursor or VS Code

claude mcp add --transport http llmpulse-mcp https://api.llmpulse.ai/api/v1/mcp
Add to Cursor

What the publisher says

From the LLM Pulse repository's README, as published. We do not edit it. Read it on GitHub

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 LLMPULSEAPIKEY, 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 info@llmpulse.ai.

Nothing above is checked by us. What we check is on the safety report.

LLM Pulse: common questions

Is LLM Pulse MCP server safe?
Yes, by our scan: it is graded A (95/100). Read the LLM Pulse safety report
How do I install LLM Pulse?
It runs remotely at api.llmpulse.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LLM Pulse need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is LLM Pulse maintained?
The last commit was 46 days ago (2026-09-19). The latest release is v1.0.0.
Is LLM Pulse up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of LLM Pulse?
Servers from other publishers that do the same job: Agent-Native Assets MCP server, Robin: AI-Powered Dark Web OSINT MCP server and DataSinking MCP server.
How does LLM Pulse compare with other AI and agents MCP servers?
safety score 95/100 (higher than 97% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 102 ms (faster than 86% of 2,331 AI and agents servers). Full comparison.

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