MCP.so
ログイン

Academic Institution Talent

@apifyforge

Academic Institution Talent について

Academic research technology scouting, university tech transfer intelligence, and lab profiling — delivered as an MCP server your AI agent calls directly. Connect to 8 live academic databases simultaneously: OpenAlex, ArXiv, USPTO, EPO, NIH, Grants.

基本情報

カテゴリ

データと分析

ライセンス

MIT

公開者

apifyforge

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "academic-institution-talent-mcp": {
      "url": "https://ryanclinton--academic-institution-talent-mcp.apify.actor/mcp"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Academic Institution Talent?

Academic Institution Talent is an MCP server that connects AI agents to 8 live academic databases—OpenAlex, ArXiv, USPTO, EPO, NIH, Grants.gov, ORCID, and EPO—to deliver structured JSON reports with 4 proprietary scoring models and a composite verdict (ACQUIRE_NOW / PARTNER / MONITOR / TOO_EARLY / PASS) in under 90 seconds. It is built for corporate R&D teams, venture capital firms, tech transfer offices, and defense technology scouts.

How to use Academic Institution Talent?

Add the server to your MCP client (Claude Desktop, Cursor, Windsurf, Cline) by pasting the endpoint URL https://academic-institution-talent-mcp.apify.actor/mcp with your Apify API token as a Bearer token or query parameter. No code is required; ask your AI agent a natural-language question like “Discover research hotspots in solid-state batteries” to call a tool.

Key features of Academic Institution Talent

  • 4 proprietary scoring models for commercialization readiness, hotspot detection, lab intelligence, and technology maturity
  • Composite verdict engine with weighted scores and override rules
  • Queries 8 parallel data sources simultaneously (45–90 seconds)
  • Spending limit enforcement via Actor.charge() checks
  • Streamable HTTP transport for MCP clients (Claude Desktop, Cursor, etc.)
  • Integrations with Zapier, Make, Google Sheets, HubSpot, and custom webhooks

Use cases of Academic Institution Talent

  • Corporate R&D technology scouting to identify university labs with high commercialization readiness
  • VC and corporate venture capital deal sourcing for pre-seed spinout candidates
  • Tech transfer office benchmarking of publication, patent, and researcher output
  • Government and defense research impact assessment mapping grants to patents and outcomes
  • Academic researcher recruitment with detailed PI profiles from ORCID, OpenAlex, and NIH

FAQ from Academic Institution Talent

Which academic databases does the server access?

It accesses 8 databases: OpenAlex (250M+ works), ArXiv (2.4M+ papers), USPTO patent search, EPO patent families, NIH research grants, Grants.gov federal opportunities, ORCID (18M+ profiles), and EPO.

How long does a typical query take?

Tool calls usually complete in 30–90 seconds because all upstream actor calls execute concurrently using Promise.all().

What scoring models are included?

The server includes 4 models: Commercialization Readiness Score, Research Hot Spot Detection, Lab Intelligence Profile, and Technology Maturity Assessment—each scoring 0–100 with labeled tiers. A composite verdict uses weighted scores plus two override rules.

What is the pricing per tool call?

Each tool call costs $0.045. New Apify accounts receive $5 in free credits, which covers approximately 111 tool calls. There are no per-seat license fees.

How do I connect to the server?

Add the endpoint URL (https://academic-institution-talent-mcp.apify.actor/mcp) to your MCP client’s configuration with your Apify API token as either a Bearer token in the Authorization header or as a query parameter (?token=YOUR_APIFY_TOKEN).

コメント

「データと分析」の他のコンテンツ