dengls24/annota

Overview

Annota is an MCP server for annotating PDF research papers. It reads PDFs, highlights key findings, explains mathematical formulas, and generates structured notes. The tool uses the Model Context Protocol to integrate with compatible AI clients.

Best for

Best for
Researchers and students who want to automate annotation of academic PDFs via MCP.

Use cases

• Annotating PDF research papers with highlights and notes
• Extracting and explaining formulas from academic papers
• Generating structured summaries of paper findings

How to use

Install

pip install pymupdf mcp

Tools exposed

• search_zotero_items
• list_zotero_items
• get_item_metadata
• get_pdf_text_bulk
• get_pdf_layout_text
• list_annotations
• create_pdf_annotation
• batch_annotate
• add_child_note

Tested with

Claude Code

Notes

Annota is an MCP server for annotating PDF research papers. It reads PDFs, highlights key findings, explains mathematical formulas, and generates structured notes. The tool uses the Model Context Protocol to integrate with compatible AI clients.

7 stars on GitHub. Last updated 2026-04-17. Licensed MIT.

Use cases

• Annotating PDF research papers with highlights and notes
• Extracting and explaining formulas from academic papers
• Generating structured summaries of paper findings

Pros

• Automates extraction of key findings and formulas from PDFs
• Produces structured notes for easier review
• Integrates with MCP-compatible clients for flexible use

Cons

• Low GitHub star count (7) suggests early stage or limited adoption
• Requires an MCP client to function, not standalone
• May have limited support for complex PDF layouts or non-English content

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.