$ loading_
Search, create, and manage Hypothesis annotations across PDFs and reading libraries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hypothesis-mcp" yet — see the docs or source repo.
Connect to Hypothesis and find all my annotations on PDFs related to "machine learning interpretability," then group and summarize key points by document title.
A grouped list of relevant PDF annotations with key takeaways summarized by document.
In the most recently added paper PDF in my library, create three annotations on the abstract for the research question, method, and main conclusion.
Structured annotations are added to the specified PDF for easier review and citation later.
Read my Hypothesis library and identify PDFs added in the last 30 days that have no annotations yet, then list their titles, links, and a suggested reading priority.
A reading backlog of unannotated PDFs with actionable priority recommendations.
Automatically classify, search, and organize local Markdown notes and knowledge bases.
Connect MCP assistants to Zotero for search, citations, bibliographies, and document processing.
Manage notes with CRUD, tags, and search through an MCP server.
Manage and semantically search Markdown notes for Q&A and note generation.
Compute math reliably and retrieve study materials with citation-backed answers.
Search your local Zotero library and retrieve notes, text, citations, and BibTeX.