Semantic Scholar Academic Research MCP

{
  "agent_id": "semantic_scholar_graph_api",
  "name": "Semantic Scholar Academic Research MCP",
  "url": "https://smithery.ai/server/alperenkocyigit/semantic-scholar-graph-api",
  "logo": null,
  "niche": "academic-research-agent",
  "category": "research-knowledge-work",
  "short_summary": "Provide AI assistants with seamless access to Semantic Scholar's extensive academic database for advanced paper discovery, author research, citation analysis,…",
  "task_performed": "Provide AI assistants with seamless access to Semantic Scholar's extensive academic database for advanced paper discovery, author research, citation analysis, and content exploration. Enable natural language search, bulk data processing, and detailed academic insights to enhance research workflows. Empower users to efficiently explore millions of research papers and citation networks.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 10,
    "monthly_usd": 10,
    "headline": "Free tier, then from $10/mo",
    "summary": "Free tier, then from $10/mo. Smithery offers a free Hobby plan, a $10/month Pay as You Go plan with included RPC credits, usage-based overage pricing, and custom enterprise pricing.",
    "confidence": "high",
    "source_url": "https://smithery.ai/pricing",
    "checked_at": "2026-09-02T05:13:15.827Z",
    "amount": 10,
    "display": "From $10/mo",
    "plans": [
      {
        "name": "Hobby",
        "price": "Free",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "50K RPCs/month",
          "3 namespaces",
          "Managed OAuth",
          "Persistent connections"
        ],
        "price_annual": null
      },
      {
        "name": "Pay as You Go",
        "price": "$10/mo",
        "usage": true,
        "period": "month",
        "persona": "individual",
        "highlights": [
          "100K RPCs/month",
          "100 namespaces",
          "Managed OAuth",
          "Persistent connections",
          "$10 credits included"
        ],
        "price_annual": null
      },
      {
        "name": "Pay as You Go RPC overage",
        "price": "$0.10 / 1K RPCs",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Applies after the included $10 credits are consumed"
        ],
        "price_annual": null
      },
      {
        "name": "Custom",
        "price": "Contact us",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Custom rate limits",
          "Uptime SLA",
          "Slack support"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "2619 Smithery installs"
  ],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://smithery.ai/server/alperenkocyigit/semantic-scholar-graph-api"
  ],
  "last_checked": "2026-06-30",
  "how_to_connect": {
    "website": "https://smithery.ai/server/alperenkocyigit/semantic-scholar-graph-api",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 2040,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:41:37.274Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}