Koskamo

LLM Pulse MCP

An MCP server providing access to LLM Pulse's AI search and GEO analytics platform. It allows agents to retrieve brand visibility metrics, share of voice, citation data, sentiment analysis, and AI traffic reports. The server exposes approximately 140 tools for querying how AI assistants mention brands and which bots crawl sites.

Visit LLM Pulse

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

LLM Pulse MCP logo, by LLM PulseCommunity listingStreamable HTTPOAuth sign-inEndpoint checked 2026-11-07Published by LLM Pulse
You need:OAuth 2.1 or API key
MCP endpoint (Streamable HTTP)
https://api.llmpulse.ai/api/v1/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Retrieve brand visibility and AI Visibility Scores from AI assistants
  • Analyze share of voice against named competitors
  • Check citations and sources used in AI answers
  • Monitor AI traffic and conversions from analytics tools

Source and maintenance

Community listingRegistry 1.0.0
mcp-registry: io.github.LLM-Pulse/llmpulse-mcp@1.0.0Source repositoryProject website
Maintenance checked

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
734 ms
95th percentile latency
734 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 734 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http llm-pulse-mcp https://api.llmpulse.ai/api/v1/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add llm-pulse-mcp --url https://api.llmpulse.ai/api/v1/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable llm-pulse-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "llm-pulse-mcp": {
      "url": "https://api.llmpulse.ai/api/v1/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "llm-pulse-mcp": {
      "type": "streamableHttp",
      "url": "https://api.llmpulse.ai/api/v1/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start llm-pulse-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "llm-pulse-mcp": {
      "type": "http",
      "url": "https://api.llmpulse.ai/api/v1/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http llm-pulse-mcp https://api.llmpulse.ai/api/v1/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://api.llmpulse.ai/api/v1/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "llm-pulse-mcp": {
      "serverUrl": "https://api.llmpulse.ai/api/v1/mcp"
    }
  }
}

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