Scientific Papers MCP
MCP server providing AI agents with access to scientific literature — searching ArXiv, Semantic Scholar, and other academic paper databases. Enables agents to search for papers by topic, retrieve abstracts and metadata, download full-text PDFs, and integrate academic research into agent workflows for literature review, research assistance, and knowledge synthesis.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS. Public academic data. No sensitive information. Cite sources appropriately in derived content.
⚡ Reliability
Best When
A researcher or developer wants AI agents to search and retrieve academic papers — particularly from open access sources like ArXiv for literature review, staying current with research, or synthesizing knowledge across papers.
Avoid When
You need peer-reviewed papers from closed-access journals — ArXiv focuses on preprints and not all fields are well-represented.
Use Cases
- • Searching academic literature for research papers from research assistance agents
- • Retrieving paper abstracts and metadata from literature review agents
- • Finding related work and citations from academic writing agents
- • Staying current with new research publications from research monitoring agents
Not For
- • Accessing paywalled papers from publishers (only open access papers are freely available)
- • Citation management (use Zotero or Mendeley for reference management)
- • Real-time scientific news (preprints may not be peer-reviewed)
Interface
Authentication
Semantic Scholar API key may be required for higher rate limits. ArXiv API is free and open. Configure based on which academic sources are enabled.
Pricing
Free open source. Academic paper APIs (ArXiv, Semantic Scholar) are free with rate limits.
Agent Metadata
Known Gotchas
- ⚠ ArXiv preprints are not peer-reviewed — flag this when using results in agents
- ⚠ Full-text PDF access may be limited for non-open-access papers
- ⚠ Academic search APIs have relatively low rate limits — avoid bulk downloading in loops
- ⚠ Search relevance varies — agents should cross-validate findings across multiple queries
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Scientific Papers MCP.
Scores are editorial opinions as of 2026-03-06.