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MCP server · AI

LLM Brand Monitor

· github.com/SerpstatGlobal/llm-brand-monitor-mcp

Track how 350+ AI models mention your brand — manage projects, run scans, analyze results

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About LLM Brand Monitor

LLM Brand Monitor is an MCP server in the AI category: track how 350+ AI models mention your brand — manage projects, run scans, analyze results. It has been installed 0 times through Conduid.

Install

Claude Code
claude mcp add llm-brand-monitor -- npx -y @serpstat/llm-brand-monitor-mcp
npx
npx -y @serpstat/llm-brand-monitor-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

LLM Brand Monitor MCP Server

npm version MCP Badge

MCP server for LLM Brand Monitor — a platform that tracks how AI models mention your brand.

Connect Claude, Cursor, Windsurf, or any MCP-compatible client to manage brand monitoring projects, run scans across 350+ LLMs, and analyze results — all through natural language.

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "lbm": {
      "command": "npx",
      "args": ["-y", "@serpstat/llm-brand-monitor-mcp"],
      "env": {
        "LBM_API_KEY": "lbm_your_key_here"
      }
    }
  }
}

Claude Code

claude mcp add lbm-mcp -e LBM_API_KEY=lbm_your_key_here -- npx -y @serpstat/llm-brand-monitor-mcp

From Source

git clone https://github.com/SerpstatGlobal/llm-brand-monitor-mcp.git
cd llm-brand-monitor-mcp
npm install && npm run build

Then add to your MCP client config:

{
  "mcpServers": {
    "lbm": {
      "command": "node",
      "args": ["/path/to/llm-brand-monitor-mcp/dist/index.js"],
      "env": {
        "LBM_API_KEY": "lbm_your_key_here"
      }
    }
  }
}

MCP Inspector

LBM_API_KEY=lbm_your_key_here npx @modelcontextprotocol/inspector node dist/index.js

Getting an API Key

  1. Sign up at llmbrandmonitor.com
  2. Open your Profile page
  3. Copy your API key (starts with lbm_)

Tools

17 tools across 4 categories:

Projects (7 tools)

Tool What it does
lbm_list_projects List all brand monitoring projects
lbm_get_project Get project details with prompts and models
lbm_create_project Create a new project
lbm_update_project Update project name, models, or monitoring settings
lbm_archive_project Archive a project
lbm_add_prompts Add monitoring prompts to a project
lbm_delete_prompt Remove a prompt from a project

Scans (3 tools)

Tool What it does
lbm_run_scan Start a scan — sends prompts to LLMs and collects responses
lbm_get_scan_status Check scan progress
lbm_list_scans View scan history

Results (5 tools)

Tool What it does
lbm_list_results Browse monitoring results (brand mentions, status)
lbm_get_transcript Read the full LLM response for a specific result
lbm_list_competitors See which competitor brands LLMs mention
lbm_list_links See which URLs and domains LLMs cite
lbm_get_history Competitor mention trends over time

Models & Usage (2 tools)

Tool What it does
lbm_list_models List 350+ available LLM models
lbm_get_usage Check credit balance and usage stats

Typical Workflow

You: "What brand monitoring projects do I have?"
Claude: → lbm_list_projects

You: "Run a scan on the Serpstat project"
Claude: → lbm_run_scan (asks you to confirm — scans spend credits)
       → lbm_get_scan_status (polls until complete)

You: "Show me the results — which models mentioned my brand?"
Claude: → lbm_list_results

You: "What did GPT-5 say exactly?"
Claude: → lbm_get_transcript

You: "Who are my competitors according to AI models?"
Claude: → lbm_list_competitors

Token-Efficient Responses

All list tools return compact CSV by default instead of verbose JSON. This reduces token usage by 80–96%, keeping responses within context limits.

# Default (CSV) — 3-6 key columns
competitor,mentions,visibility_pct
Competitor A,178,72.4
Competitor B,105,42.7

# Full JSON — pass include_all_fields: true
{"data": [{"competitor_id": "...", "competitor_name": "Competitor A", ...}]}

All list tools support offset and limit for pagination.

Configuration

Variable Required Default Description
LBM_API_KEY Yes — API key from llmbrandmonitor.com
LBM_API_BASE_URL No https://llmbrandmonitor.com/api/v1 API base URL
LOG_LEVEL No info error, warn, info, debug

Error Handling

Errors include actionable hints for the LLM:

Error Hint
INSUFFICIENT_CREDITS Check balance with lbm_get_usage. Top up at llmbrandmonitor.com/pricing
RATE_LIMITED Wait a few seconds and retry
NOT_FOUND Call lbm_list_projects to verify the ID exists
UNAUTHORIZED API key is invalid — check LBM_API_KEY

Development

npm install
npm run build    # TypeScript → dist/
npm test         # 126 tests

API Documentation

Full REST API docs: llmbrandmonitor.com/api-docs

License

MIT

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About LLM Brand Monitor

How do I install LLM Brand Monitor?

Run claude mcp add llm-brand-monitor -- npx -y @serpstat/llm-brand-monitor-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is LLM Brand Monitor safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LLM Brand Monitor still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.