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.
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%, 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.
| 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 |
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 |
npm install
npm run build # TypeScript → dist/
npm test # 126 tests
Full REST API docs: llmbrandmonitor.com/api-docs
MIT
LBM_API_KEY*secretAPI key from llmbrandmonitor.com/profile
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent