resp
monk1337/resp
RESP is an academic research paper search library and MCP server that queries multiple databases like arXiv, Semantic Scholar, and Google Scholar. It allows developers and AI agents to fetch papers, retrieve citations, and discover related literature.
Overview
The RESP tool provides a unified Python API and Model Context Protocol (MCP) server for querying academic search engines and preprint repositories. It aggregates sources such as arXiv, Semantic Scholar, ACM Digital Library, ACL Anthology, and Google Scholar (via SerpAPI), while also supporting similarity-based paper discovery through Selenium-driven Connected Papers integration.
Capabilities
- ▸Keyword search across arXiv, Semantic Scholar, ACM, and conference proceedings
- ▸Google Scholar integration for searching, citations, and related papers
- ▸Connected Papers similarity graph scraping via Selenium
- ▸Model Context Protocol (MCP) server support for direct integration with AI assistants
Best for
Searching academic literature across multiple preprint servers and libraries programmatically, Enabling AI agents to fetch research papers, citations, and related works during literature reviews, Discovering similar papers using similarity graph tools like Connected Papers
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Relies on third-party APIs (SerpAPI) and web scraping via Selenium, which should be handled according to target site terms of service.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.