Academia MCP Server (arXiv + ACL)
MCP server by IlyaGusev (notable NLP researcher) for academic literature search. Enables AI agents to search arXiv preprints and ACL Anthology (NLP/linguistics papers), retrieve citations and references, browse related web sources, and accelerate research workflows. Purpose-built for ML/NLP research acceleration.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Public APIs with no auth. No credentials to protect. Safe read-only academic data access.
⚡ Reliability
Best When
An ML/AI/NLP researcher or research agent needs to search academic literature — primarily arXiv preprints and ACL papers — with citation graph navigation and reference retrieval.
Avoid When
You need broad academic search beyond arXiv/ACL (use Semantic Scholar or Google Scholar APIs for wider coverage). Also: ACL Anthology is NLP/linguistics-specific.
Use Cases
- • Searching arXiv for recent ML/AI papers from research assistant agents
- • Finding NLP papers via ACL Anthology from linguistics and language model research agents
- • Retrieving citation graphs and paper references from literature review agents
- • Accelerating academic research workflows with AI-powered paper discovery
Not For
- • Searching non-academic web content (use general search MCPs)
- • Accessing paywalled journal articles (arXiv and ACL are open access)
- • Real-time news or recent events (academic preprint focus)
Interface
Authentication
No authentication required. arXiv and ACL Anthology are free public APIs. No API key needed.
Pricing
Completely free. arXiv and ACL Anthology are open academic resources. MCP server is free open source.
Agent Metadata
Known Gotchas
- ⚠ arXiv rate limit is 3 requests/second — bulk paper retrieval needs throttling
- ⚠ arXiv search returns preprints — may not be peer-reviewed; cite appropriately
- ⚠ ACL Anthology coverage is NLP/computational linguistics only — not general CS or medicine
- ⚠ IlyaGusev is a credible NLP researcher (Saiga, Rulm models) — quality implementation for research use
Alternatives
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Scores are editorial opinions as of 2026-03-07.