Academic Paper Search
This MCP server provides academic paper search and retrieval functionality across multiple sources like Semantic Scholar and Crossref. Built with Python using the FastMCP framework, it offers tools for searching papers, fetching detailed metadata, and filtering by topic and date range. The implementation focuses on delivering structured academic information through a standardized interface, making it particularly useful for AI assistants and applications that require access to scientific literature. By connecting to established academic APIs, this server enables use cases such as literature reviews, research trend analysis, and citation management, enhancing the capabilities of AI models in academic and research contexts.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/afrise/academic-search-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Academic Paper Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.