LLM Brand Monitor MCP server

by SerpstatGlobal·io.github.SerpstatGlobal/llm-brand-monitor·v1.0.1·1 stars

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

B74/100grade B

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Safety scan

B74/100

full report

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1 stars39 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

LLM Brand Monitor tools (17, 4 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

lbm_add_prompts
WHEN TO USE: To add one or more monitoring prompts to a project. Prompts are the questions asked to LLMs (e.g. "What are the best tools for X?").
lbm_archive_project
WHEN TO USE: To archive a project that is no longer needed. Archived projects are hidden but not deleted.
lbm_create_projectwrite action
WHEN TO USE: To create a new brand monitoring project.
lbm_delete_promptwrite action
WHEN TO USE: To remove a specific prompt from a project.
lbm_get_history
WHEN TO USE: To see competitor mention trends over time — which competitors were mentioned by LLMs across multiple scans and how their visibility changed.
lbm_get_project
WHEN TO USE: To get full details of a specific brand monitoring project including all prompts.
lbm_get_scan_status
WHEN TO USE: To check the status of a running or completed scan.
lbm_get_transcript
WHEN TO USE: To read the full verbatim LLM response for a specific monitoring result.
lbm_get_usage
WHEN TO USE: To check credit balance and usage statistics. Call this before lbm_run_scan to confirm the user has enough credits.
lbm_list_competitors
WHEN TO USE: To see which competitor brands were mentioned by LLMs in responses to this project's prompts.
lbm_list_links
WHEN TO USE: To see which URLs and domains LLMs cited in their responses — useful for understanding what sources AI models trust for this topic.
lbm_list_models
WHEN TO USE: To discover which LLM models are available for brand monitoring scans.
lbm_list_projects
WHEN TO USE: To get a list of all brand monitoring projects for the current user.
lbm_list_results
WHEN TO USE: To get monitoring results for a project — how LLMs responded to brand monitoring prompts.
lbm_list_scans
WHEN TO USE: To see the scan history for a project — all past and current scans with their statuses.
lbm_run_scanwrite action
WHEN TO USE: To start a new monitoring scan for a project — sends prompts to all configured LLMs and collects responses.
lbm_update_projectwrite action
WHEN TO USE: To update project name, models, or auto monitoring settings. Only provided fields are updated.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings

Code scan25 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitystatic API keys via environment variables6/15
Maintenancelast push 158 days ago8/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Overall 74/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How LLM Brand Monitor compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 74/100; higher than 43% of 4,460 AI and agents servers
Tools: 17; the typical AI and agents server has 6
Tools that change things: 24%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 1; more than 50% of 2,711 AI and agents servers
Downloads a week: 39; more than 31% of 1,538 AI and agents servers with a package

What its tools let an agent do: 13 read · 4 change

Install LLM Brand Monitor in Claude Code, Cursor or VS Code

Runs npx -y @serpstat/llm-brand-monitor-mcp on your machine. Read the scan report first; the gateway never runs local packages.

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

Add to Cursor

What the publisher says

From the LLM Brand Monitor repository's README, as published. We do not edit it. Read it on GitHub

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 claudedesktopconfig.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

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

Tools

17 tools across 4 categories:

Projects (7 tools)

Scans (3 tools)

Results (5 tools)

Models & Usage (2 tools)

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

LLM Brand Monitor: common questions

Is LLM Brand Monitor MCP server safe?: Mostly: it is graded B (74/100). Read the LLM Brand Monitor safety report
How do I install LLM Brand Monitor?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does LLM Brand Monitor need an API key?: Yes. The registry entry asks for LBM_API_KEY.
Is LLM Brand Monitor maintained?: The last commit was 196 days ago (2026-04-22). The latest release is v1.0.1.
What can I use instead of LLM Brand Monitor?: Servers from other publishers that do the same job: Skillsmith MCP server, Agent-Native Assets MCP server and Emilia Protocol MCP server.
How does LLM Brand Monitor compare with other AI and agents MCP servers?: safety score 74/100 (higher than 43% of 4,460 AI and agents servers); tools 17 (the typical AI and agents server has 6); tools that change things 24% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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