Paper Search MCP
Search, analyze, and download academic papers from 25+ sources. MCP server + CLI + Agent Skill.
Paper Search MCP is a comprehensive academic paper search, analysis, and download tool available as an MCP server, CLI, and Agent Skill. Search across 25+ academic sources including arXiv, Semantic Scholar, Crossref, OpenAlex, PubMed, IEEE, ACM, Springer, Elsevier, and more. Features include semantic search, citation analysis, paper metadata extraction, PDF download, reference parsing, and paper summarization. The MCP server integrates with Claude Desktop, Cursor, Cline, and any MCP-compatible client. The CLI provides fast command-line access. The Agent Skill works with Claude Code, Codex, and other AI coding agents.
Key Features
- Search across 25+ academic sources: arXiv, Semantic Scholar, Crossref, OpenAlex, PubMed, IEEE, ACM, Springer, Elsevier, Nature, Science, Google Scholar, and more
- Semantic search powered by vector embeddings — find papers by meaning, not just keywords
- Citation analysis: view citation counts, citing papers, reference lists, and citation networks
- Paper metadata extraction: title, authors, abstract, DOI, arXiv ID, publication date, venue, keywords
- PDF download from open-access sources (arXiv, PubMed Central, Semantic Scholar, Unpaywall)
- Reference parsing: extract and resolve references from paper PDFs and metadata
- Paper summarization: AI-generated summaries of paper abstracts and full text
- Related paper recommendations based on citation networks and semantic similarity
- Author search and profile lookup across multiple databases
- Venue/journal search with impact metrics and acceptance rates
- MCP server integration with Claude Desktop, Cursor, Cline, and any MCP-compatible client
- CLI for fast command-line paper search and download
- Agent Skill for Claude Code, Codex, and other AI coding agents
- Batch search and download for literature reviews
- Export results to BibTeX, RIS, CSV, JSON, or Markdown
- No API key required for most sources — works out of the box
- Cross-platform: Windows, macOS, Linux
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