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LLM Brand Monitor

serpstatglobal/llm-brand-monitor-mcp
1authSTDIOregistry active
Summary

This server connects Claude to Serpstat's LLM Brand Monitor platform, which tracks how 350+ AI models reference your brand. You get 17 tools split across projects, scans, results, and usage tracking. Create monitoring projects with custom prompts, run scans across hundreds of LLMs, then pull back mentions, competitor analysis, citation links, and full response transcripts. All list operations return compact CSV by default to save 80-96% on tokens. Requires an API key from llmbrandmonitor.com. Most useful if you're tracking brand perception across the AI ecosystem or need to know which models recommend your product versus competitors.

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LLM Brand Monitor MCP Server

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_)
API key in LLM Brand Monitor profile

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

Featured
CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
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Configuration

LBM_API_KEY*secret

API key from llmbrandmonitor.com/profile

Categories
AI & LLM ToolsMonitoring & Observability
Registryactive
Package@serpstat/llm-brand-monitor-mcp
TransportSTDIO
AuthRequired
UpdatedApr 22, 2026
View on GitHub

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