LLM Brand Monitor
io.github.SerpstatGlobalPublished by GitHub account SerpstatGlobalv1.0.1Updated Oct 24, 2026
Track how 350+ AI models mention your brand — manage projects, run scans, analyze results
Overview
A local MCP server that lets an assistant manage LLM Brand Monitor projects, run brand-mention scans across 350+ AI models, and analyze the results.
- What you can do
- List, inspect, create, update and archive brand monitoring projects, and add or remove monitoring prompts on them. Start scans that send prompts to LLMs, check scan progress and review scan history. Browse results, read full LLM transcripts, see which competitors are mentioned and which URLs are cited, and view competitor mention trends over time. List available LLM models and check credit balance and usage stats.
- When to use it
- Useful when you already use LLM Brand Monitor and want to drive it conversationally: setting up projects and prompts, launching scans, and reviewing how AI models mention your brand and competitors.
- Requirements
- Runs locally via npx (Node.js) or from a built source checkout. Requires an LLM Brand Monitor account and an API key supplied in the LBM_API_KEY environment variable. Optional LBM_API_BASE_URL and LOG_LEVEL variables. Network access to the LLM Brand Monitor API.
Installation
In SourceWeft
- Open LLM Brand Monitor in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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:
Claude Code
From Source
Then add to your MCP client config:
MCP Inspector
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
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.
All list tools support offset and limit for pagination.
Configuration
Error Handling
Errors include actionable hints for the LLM:
Development
API Documentation
Full REST API docs: llmbrandmonitor.com/api-docs
License
MIT
Source: README.md at commit 12e04b6
Tools
0Version history
1- v1.0.1LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts