onyx_research_intel

Active

declared in 1.26.0

Research intel — has someone solved X already? Queries 240M+ academic works via OpenAlex (includes arXiv preprints, conference papers, journal articles), ranks by citation count + recency + relevance, returns top N papers with one-line abstract excerpts, citation counts, and author names. Built for autonomous agents that need to check prior art before burning cycles re-deriving a known result. Fallback to Semantic Scholar. (price: $0.05 USDC, tier: metered)

Parameters schema

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Research question or keyword string. Plain English works; OpenAlex handles tokenization."
    },
    "top_n": {
      "type": "integer",
      "default": 5,
      "maximum": 20,
      "minimum": 1,
      "description": "How many papers to return."
    },
    "sort_by": {
      "enum": [
        "relevance",
        "citations",
        "recency"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Ranking. citations = highest cited first; recency = newest first; relevance = OpenAlex semantic match."
    },
    "year_from": {
      "type": "integer",
      "maximum": 2100,
      "minimum": 1900,
      "description": "Optional: only return papers from this year onward."
    },
    "min_citations": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Filter out papers with fewer than this many citations. Use 50+ to surface only well-known work."
    }
  }
}

What this tool wraps· 3 endpoints

min confidence0.70 0.50

Parent server

onyx-paid-mcp

https://github.com/dimitrilaouanis-tech/onyx-mcp

2/7 registries

View full server →