LLM Brand Monitor

io.github.SerpstatGlobal由 GitHub 帳號 SerpstatGlobal 發布v1.0.1更新於 Oct 24, 2026

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

已驗證STDIO僅桌面資料與分析商業與電商AI 與機器學習

概覽

AI 產生的概覽

本機 MCP 伺服器，讓助理管理 LLM Brand Monitor 專案、在 350+ 個 AI 模型上執行品牌提及掃描並分析結果。

可以做什麼
列出、檢視、建立、更新與封存品牌監測專案，並為專案新增或移除監測提示詞。啟動掃描，將提示詞送給大型語言模型，查看掃描進度與掃描歷史。瀏覽結果、讀取完整的模型回覆、查看被提及的競品與被引用的網址，並檢視競品提及趨勢。列出可用的模型，查詢點數餘額與使用統計。
適用情境
適合已在使用 LLM Brand Monitor 的使用者，希望透過對話完成專案與提示詞設定、發起掃描，並了解 AI 模型如何提及自家品牌與競品。
執行需求
透過 npx（Node.js）或從原始碼建置後在本機執行。需要 LLM Brand Monitor 帳號，並以環境變數 LBM_API_KEY 提供 API 金鑰。可選環境變數 LBM_API_BASE_URL 與 LOG_LEVEL。需要連線至 LLM Brand Monitor API 的網路存取。
安裝前請注意
LBM_API_KEY 是金鑰，可存取你的帳號。掃描會消耗點數，README 指出助理應在執行前請求確認；點數不足會回傳錯誤。工具可建立、更新、封存與刪除專案及提示詞，會實際變更帳號資料。提示詞與結果會傳送至 LLM Brand Monitor 服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 LLM Brand Monitor，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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:

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

Claude Code

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

From Source

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

Then add to your MCP client config:

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

MCP Inspector

bash
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 columnscompetitor,mentions,visibility_pctCompetitor A,178,72.4Competitor 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

bash
npm installnpm run build    # TypeScript → dist/npm test         # 126 tests

API Documentation

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

License

MIT

來源：README.md，提交 12e04b6

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包，因此其工具未知。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

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