discover_adjacent_trends
InactiveTool of Fodda Knowledge Graphs
Find trends similar to one you've already found — surfaces unexpected cross-domain connections that keyword search would miss. Returns scored similarity matches and optionally editorial links across graphs. Use to expand research briefs, discover cross-industry parallels, or map the territory around a strong signal. This leverages Fodda's proprietary similarity index across all knowledge graphs.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"graphId",
"trend_id"
],
"properties": {
"limit": {
"type": "number",
"description": "Maximum number of adjacent trends to return. Default: 10"
},
"userId": {
"type": "string",
"description": "Optional user identifier for trial usage tracking."
},
"graphId": {
"type": "string",
"description": "The graph ID. Use list_graphs to see all options. Examples: 'retail', 'tech', 'food', 'travel', 'beauty', 'sports', 'sic', 'pew', 'ce-design', 'ezra-eeman-wayfinder', 'dhl-ecommerce-trends-2026', 'automotive-color-trends', 'alyson-stevens-macro', 'generative-realities', 'pwc/sxsw-2026-key-insights', 'green-house/thrive-report', 'michaels-2026-creativity-trend-report', 'delta/the-connection-index'"
},
"trend_id": {
"type": "string",
"description": "The node_id from a prior search_graph result (e.g. '2507.0'). MUST come from the search result's node_id field. Node IDs are NOT sequential integers — do NOT guess or invent IDs like '1', '2', '3'. Do NOT pass the trend name."
},
"min_score": {
"type": "number",
"description": "Minimum similarity score threshold (0-1). Default: 0.80"
},
"include_editorial": {
"type": "boolean",
"description": "If true, also include editorially linked trends. Default: false"
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
Fodda Knowledge Graphs
https://github.com/fodda/mcp-server
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