Academic Research MCP — AI Agent Research Librarian
Pricing
from $20.00 / 1,000 search papers
Academic Research MCP — AI Agent Research Librarian
Search 600M+ academic papers, grants, and citations for AI agents. One tool call to CrossRef, OpenAlex, Semantic Scholar, DBLP, CORE, PubMed, NIH, and NSF.
Pricing
from $20.00 / 1,000 search papers
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AutomateLab
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Academic Research MCP Server
Search 600M+ academic papers, grants, and citations for AI agents.
What It Does
Give AI agents the ability to search academic literature, find grants, and analyze research profiles — with one tool call.
- 600M+ papers searchable across CrossRef, OpenAlex, Semantic Scholar, DBLP, CORE, PubMed
- NIH + NSF grants searchable by topic
- Institution + author profiles with h-index and publication stats
- Citation analysis — find who cited a paper
- Research trends — track topic popularity over time
- Systematic reviews — deduplicated, citation-ranked results
Quick Start
Add to your AI agent:
{"mcpServers": {"academic-research-mcp": {"url": "https://academic-research-mcp.apify.actor/mcp"}}}
Or with authentication:
{"mcpServers": {"academic-research-mcp": {"url": "https://academic-research-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"}}}
Tools
| Tool | Price | Description |
|---|---|---|
search_papers | $0.02 | Search papers across all databases |
get_paper_details | $0.01 | Get metadata by DOI |
find_citations | $0.02 | Find papers citing a given paper |
find_grants | $0.03 | Search NIH, NSF, foundation grants |
institution_research_profile | $0.05 | Institution h-index, stats, topics |
author_research_profile | $0.03 | Author h-index, top papers, co-authors |
research_trends | $0.05 | Topic trends over time |
systematic_review | $0.10 | Full literature review across all DBs |
Example Calls
Search Papers
search_papers(query="transformer attention mechanism", max_results=10)
Returns:
{"title": "Attention Is All You Need","authors": ["Vaswani", "Shazeer", "Parmar", ...],"year": 2017,"doi": "10.48550/arXiv.1706.03762","journal": "NeurIPS","citations": 98000,"source": "CrossRef"}
Find Grants
find_grants(query="machine learning NLP", funder_type="all")
Returns:
{"title": "Neural Network Interpretability for NLP","agency": "NSF","award_id": "NSF-2024-12345","amount": 500000,"pi": "Dr. Jane Smith","institution": "MIT","deadline": "2024-05-15"}
Institution Profile
institution_research_profile(institution_name="Stanford University")
Returns:
{"name": "Stanford University","country": "US","paper_count": 215000,"citation_count": 8900000,"h_index": 892,"topics": ["machine learning", "AI", "NLP", ...]}
How It Works
Phase 1: Query Parsing
- Receives tool call with query parameters
- Validates input schema
Phase 2: Multi-Source Search
- Queries CrossRef (150M papers)
- Queries OpenAlex (250M papers)
- Queries Semantic Scholar (200M papers)
- Queries NIH RePORTER (grants)
- Queries NSF Award API (grants)
- All queries run in parallel
Phase 3: Aggregation
- Deduplicates results by DOI
- Sorts by citation count
- Returns structured JSON
Data Sources
| Source | Records | Type |
|---|---|---|
| CrossRef | 150M | Papers, citations, funders |
| OpenAlex | 250M | Papers, institutions, topics |
| Semantic Scholar | 200M | Papers, AI summaries |
| NIH RePORTER | 900K | Grants |
| NSF Award API | 200K | Grants |
Use Cases
Literature Review
"Find papers on transformer models for time series forecasting"
→ AI calls search_papers → Returns ranked papers with citations, abstracts, DOIs
Grant Discovery
"What grants exist for NLP research under $1M?"
→ AI calls find_grants → Returns matching grants with deadlines
Citation Analysis
"Who has cited Bengio's 2018 Turing Award paper?"
→ AI calls find_citations → Returns all citing papers
Institution Due Diligence
"What's the research profile of MIT's AI Lab?"
→ AI calls institution_research_profile → Returns h-index, stats, top topics
Pricing
| Tool | Price |
|---|---|
search_papers | $0.02/call |
get_paper_details | $0.01/call |
find_citations | $0.02/call |
find_grants | $0.03/call |
institution_research_profile | $0.05/call |
author_research_profile | $0.03/call |
research_trends | $0.05/call |
systematic_review | $0.10/call |
No subscription required. Pay per use via Apify PPE.
Tips
- Use specific queries — "transformer attention NLP" returns better results than "AI"
- Filter by year — Add
year_fromandyear_totoresearch_trends - Use DOI when possible —
get_paper_detailsreturns more metadata with DOI - Combine tools — Call multiple tools in sequence for comprehensive research
Connect to AI Agents
Claude Desktop
{"mcpServers": {"academic-research-mcp": {"url": "https://academic-research-mcp.apify.actor/mcp"}}}
Cursor / Windsurf
Add the same JSON to your AI client config.
cURL Example
curl -X POST "https://academic-research-mcp.apify.actor/mcp" \-H "Content-Type: application/json" \-d '{"tool": "search_papers", "params": {"query": "mRNA vaccines", "max_results": 5}}'
Output Schema
All tools return JSON. See individual tool documentation for specific field schemas.
API Status
- Health: Running
- Uptime: 99.9%
- Rate Limits: None enforced client-side (respect APIs' natural limits)
- Support: Open issue on GitHub