ai_visibility_check
ActiveTool of wikipedia
declared in 0.1.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
Parameters schema
{
"type": "object",
"required": [
"entity"
],
"properties": {
"entity": {
"type": "string",
"description": "The thing to ask about. Brand/business name, product name, person, or topic. E.g. \"Pipeworx\", \"OpenInvoice\", \"Acme Corp pricing\"."
},
"models": {
"type": "array",
"items": {
"type": "string"
},
"description": "Which models to probe. Supported: \"workers-ai\" (free default), \"anthropic\" (requires _apiKey). Omit for just workers-ai."
},
"_apiKey": {
"type": "string",
"description": "Optional Anthropic API key (sk-ant-...) — only needed if \"anthropic\" is in models. Passed straight through to api.anthropic.com."
},
"context": {
"type": "string",
"description": "Optional: a phrase locating the entity (e.g. \"Boston restaurant\", \"B2B SaaS\"). Helps disambiguate common names."
}
}
}Parent server
wikipedia
https://github.com/pipeworx-io/mcp-wikipedia
2/7 registries