Is Llm Brand Monitor free?

Yes, Llm Brand Monitor is free to use.

How do I install Llm Brand Monitor?

Llm Brand Monitor is a local plugin. Install it using npm package: @serpstat/llm-brand-monitor-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What credentials does Llm Brand Monitor need?

Llm Brand Monitor requires the following credentials or environment variables: LBM_API_KEY. You can find setup instructions on the server detail page.

What AI apps work with Llm Brand Monitor?

Llm Brand Monitor uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Llm Brand Monitor MCP Server

by SerpstatGlobal

Developer ToolsUse Caution4.8MCP RegistryLocal

Free

Server data from the Official MCP Registry

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

About

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

Security Report

4.8

Use Caution4.8High Risk

This MCP server is well-architected with proper authentication, secure credential handling, and no malicious patterns detected. The codebase demonstrates good security practices with input validation, error handling, and appropriate permissions scoped to the LLM Brand Monitor API. Minor code quality observations noted but do not materially impact security posture. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.

7 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

API key from llmbrandmonitor.com/profileRequired

Environment variable: LBM_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-serpstatglobal-llm-brand-monitor": {
      "env": {
        "LBM_API_KEY": "your-lbm-api-key-here"
      },
      "args": [
        "-y",
        "@serpstat/llm-brand-monitor-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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

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)

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

Reviews

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Llm Brand Monitor MCP Server

About

Security Report

Findings (8)Action required

Permissions Required

What You'll Need

How to Install

Documentation

LLM Brand Monitor MCP Server

Quick Start

Claude Desktop

Claude Code

From Source

MCP Inspector

Getting an API Key

Tools

Projects (7 tools)

Scans (3 tools)

Results (5 tools)

Models & Usage (2 tools)

Typical Workflow

Token-Efficient Responses

Configuration

Error Handling

Development

API Documentation

License

Reviews

No reviews yet

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