PaperSearch (arXiv)
This papersearch MCP implementation provides an interface for querying academic papers from the arXiv repository. Built with Python using the arxiv library, it enables AI assistants to search for and retrieve metadata about scientific publications. The implementation supports functions like searching by keyword, retrieving paper details, and listing recent submissions across different subject categories. It stands out by focusing specifically on arXiv as a data source, making it particularly useful for researchers, students, and academics who want to leverage AI assistance in literature reviews, staying updated on recent publications, or exploring connections between papers in their field of study.
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/lincest/mcp-papersearch
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve PaperSearch (arXiv) 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.