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paper-search-mcp ★ 2575 255 APPLICATION

This repository implements a Model Context Protocol (MCP) server and CLI for searching, downloading, and reading academic papers across ~20 scholarly platforms (arXiv, PubMed, Semantic Scholar, CrossRef, OpenAlex, Google Scholar, etc.). It is primarily an application—a Python package distributed via PyPI—that exposes two entry points: an MCP server (stdio-based, compatible with Claude Desktop and other MCP clients) and a command-line interface. The architecture follows a clean two-layer design: a unified tool layer (search_papers, download_with_fallback) that orchestrates concurrent multi-source searches with deduplication, and a modular connector layer where each platform is implemented as a self-contained class inheriting from a common PaperSource abstract base. The system emphasizes a 'free-first' strategy, relying on open public APIs and optional API keys for enhanced access. It includes a fallback chain for PDF downloads (native source → OA repositories → Unpaywall → Sci-Hub) and supports full-text extraction via pypdf. The codebase is well-structured with consistent patterns (Paper dataclass, env config, retry/backoff), comprehensive test coverage (unit and e2e), and CI/CD publishing. However, some connectors are skeletons (IEEE, ACM) or not wired (ChemRxiv), and HTML scraping components are fragile to upstream changes. The last commit date is anomalously in the future (2026-08-17), but the repository shows active issue triage and community engagement.

RATING: 8.0/10 MAINT: active DRIFT: medium
Awesome-AI-Scientist-Papers ★ 0 0 UNKNOWN

RATING: N/A/10 MAINT: unknown DRIFT: unknown
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