LLM Brand Monitor

npm version MCP Badge License: MIT

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