Track how 350+ AI models mention your brand — manage projects, run scans, analyze results
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"lbm": {
"env": {
"LBM_API_KEY": "lbm_your_key_here"
},
"args": [
"-y",
"@serpstat/llm-brand-monitor-mcp"
],
"command": "npx"
}
}
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MCP server for LLM Brand Monitor — a platform that tracks how AI models mention your brand.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@serpstat/llm-brand-monitor-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @serpstat/llm-brand-monitor-mcp against OSV.dev.
Click any tool to inspect its schema.
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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.
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 mcp add lbm-mcp -e LBM_API_KEY=lbm_your_key_here -- npx -y @serpstat/llm-brand-monitor-mcp
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"
}
}
}
}
LBM_API_KEY=lbm_your_key_here npx @modelcontextprotocol/inspector node dist/index.js
lbm_)
17 tools across 4 categories:
| 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 |
| 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 |
| 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 |
| Tool | What it does |
|---|---|
lbm_list_models | List 350+ available LLM models |
lbm_get_usage | Check credit balance and usage stats |
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
All list tools return compact CSV by default instead of verbose JSON. This reduces token usage by 80–96%, k