Academic Search MCP
MCP for academic literature search via Semantic Scholar with relevance filters, batch metadata and citation-graph recs.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Academic Search MCP, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
Academic Search MCP enables searching academic literature through Semantic Scholar with relevance filters, batch metadata retrieval and citation-graph recommendations. Security surface: it uses a Semantic Scholar API key and returns paper metadata/abstracts (untrusted external text) into the agent.
Key features and capabilities
- Semantic Scholar search
- Relevance filtering
- Batch metadata retrieval
- Citation-graph recommendations
Use cases
- Literature review with an agent
- Find related papers via citation graph