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LLM Brand Monitor

Official registry Marketing and sales

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @serpstat/llm-brand-monitor-mcp
Claude Code 
claude mcp add llm-brand-monitor -e 'LBM_API_KEY=<your lbm_api_key>' -- npx -y @serpstat/llm-brand-monitor-mcp@1.0.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "llm-brand-monitor": {
            "command": "npx",
            "args": [
                "-y",
                "@serpstat/llm-brand-monitor-mcp@1.0.1"
            ],
            "env": {
                "LBM_API_KEY": "<your lbm_api_key>"
            }
        }
    }
}

Environment variables

  • LBM_API_KEY required secret API key from llmbrandmonitor.com/profile

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. LLM Brand Monitor MCP Server
  2. Quick Start
  3. Getting an API Key
  4. Tools
  5. Typical Workflow
  6. Token-Efficient Responses
  7. Configuration
  8. Error Handling
  9. Development
  10. API Documentation
  11. License

LLM Brand Monitor MCP Server

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)
ToolWhat it does
lbm_list_projectsList all brand monitoring projects
lbm_get_projectGet project details with prompts and models
lbm_create_projectCreate a new project
lbm_update_projectUpdate project name, models, or monitoring settings
lbm_archive_projectArchive a project
lbm_add_promptsAdd monitoring prompts to a project
lbm_delete_promptRemove a prompt from a project
Scans (3 tools)
ToolWhat it does
lbm_run_scanStart a scan — sends prompts to LLMs and collects responses
lbm_get_scan_statusCheck scan progress
lbm_list_scansView scan history
Results (5 tools)
ToolWhat it does
lbm_list_resultsBrowse monitoring results (brand mentions, status)
lbm_get_transcriptRead the full LLM response for a specific result
lbm_list_competitorsSee which competitor brands LLMs mention
lbm_list_linksSee which URLs and domains LLMs cite
lbm_get_historyCompetitor mention trends over time
Models & Usage (2 tools)
ToolWhat it does
lbm_list_modelsList 350+ available LLM models
lbm_get_usageCheck 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

VariableRequiredDefaultDescription
LBM_API_KEYYes—API key from llmbrandmonitor.com
LBM_API_BASE_URLNohttps://llmbrandmonitor.com/api/v1API base URL
LOG_LEVELNoinfoerror, warn, info, debug

Error Handling

Errors include actionable hints for the LLM:

ErrorHint
INSUFFICIENT_CREDITSCheck balance with lbm_get_usage. Top up at llmbrandmonitor.com/pricing
RATE_LIMITEDWait a few seconds and retry
NOT_FOUNDCall lbm_list_projects to verify the ID exists
UNAUTHORIZEDAPI 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

Frequently asked questions

What is LLM Brand Monitor?

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

How do I install LLM Brand Monitor?

It runs on your machine. In Claude Code: claude mcp add llm-brand-monitor -e 'LBM_API_KEY=<your lbm_api_key>' -- npx -y @serpstat/llm-brand-monitor-mcp@1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does LLM Brand Monitor need an API key?

Yes. It expects LBM_API_KEY, which you set in its configuration.

Is LLM Brand Monitor open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains LLM Brand Monitor?

It is published by SerpstatGlobal. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.