brand_tracker
InactiveTool of Fodda Knowledge Graphs
Build a complete Brand Intelligence Profile by searching ALL knowledge graphs for a specific brand. Returns trend footprint (which trends the brand appears in), competitive landscape (co-occurring brands ranked by overlap), cross-graph presence, evidence timeline, lifecycle distribution, and bundled supplemental signals (Google Trends, Wikipedia, Amazon, earnings). Use when the query is about a specific company or brand — "What is Nike doing?", "Patagonia's innovation strategy", "How is Apple positioned?". This aggregates intelligence that would require dozens of separate web searches to assemble.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"brand_name"
],
"properties": {
"userId": {
"type": "string",
"description": "Optional user identifier for trial usage tracking."
},
"graph_ids": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional: specific graph IDs to search. If omitted, searches ALL accessible graphs."
},
"brand_name": {
"type": "string",
"description": "The brand name to look up (e.g. 'Nike', 'Adidas', 'Apple'). Case-insensitive."
},
"max_evidence": {
"type": "number",
"description": "Maximum evidence items per graph. Default: 10. Max: 25."
},
"include_evidence": {
"type": "boolean",
"description": "If true (default), include individual evidence items. Set to false for summary-only."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
Fodda Knowledge Graphs
https://github.com/fodda/mcp-server
1/7 registries