Semantic Scholar
This Semantic Scholar API MCP server, built with FastMCP, provides a streamlined interface for AI assistants to access academic literature through the Semantic Scholar database. Developed to bridge the gap between AI systems and scholarly research, it offers tools for querying papers, authors, and citations. The implementation stands out by leveraging FastMCP's efficient request handling and Semantic Scholar's comprehensive academic database. By exposing Semantic Scholar's capabilities through standardized MCP endpoints, it allows AI systems to easily incorporate up-to-date research findings and bibliometric data. This server is particularly useful for enhancing AI assistants with academic research capabilities, supporting literature reviews, trend analysis in scientific fields, or building applications that require access to scholarly information.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Semantic Scholar 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.