Paper Find
Integrates with arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, CrossRef, IACR ePrint Archive, Google Scholar, and RePEc to provide unified academic paper discovery and retrieval. Supports PDF downloading, full-text extraction using PyMuPDF4LLM for markdown conversion, and detailed metadata retrieval including citations, keywords, and publication history. The server offers both compact and detailed search modes to balance speed versus completeness, handles various paper identifier formats (DOIs, arXiv IDs, PubMed IDs), and includes robust error handling with network timeout management.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/h-lu/paper-find-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Paper Find 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.