scan_competitor_ai_presence
ActiveTool of mcp-pubmed
declared in 0.1.0
Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.
Parameters schema
{
"type": "object",
"required": [
"entities"
],
"properties": {
"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 — only if \"anthropic\" is in models. Passed to api.anthropic.com per probe."
},
"context": {
"type": "string",
"description": "Optional shared context applied to every probe (e.g. \"B2B SaaS\", \"Boston restaurant\"). Disambiguates common names."
},
"entities": {
"type": "array",
"items": {
"type": "string"
},
"description": "Array of 2-8 entities to compare (brand/business/product names). First entry treated as the \"subject\" for narrative; rest are competitors."
}
}
}Parent server
mcp-pubmed
https://github.com/pipeworx-io/mcp-pubmed
2/7 registries