dengls24-annota
AI-powered paper annotation MCP server. Reads papers, highlights key findings with semantic color coding, explains formulas, and writes structured reading notes — all saved back to Zotero. Features two-phase workflow for large PDFs (63–80% context savings) and batch annotations.
- Score
- 63.0031 signal
- Evidence
- 19 stars
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
AI-powered paper annotation MCP server. Reads papers, highlights key findings with semantic color coding, explains formulas, and writes structured reading notes — all saved back to Zotero. Features two-phase workflow for large PDFs (63–80% context savings) and batch annotations.
When to use it
When an agent needs the "Knowledge & Memory" capability this MCP server exposes.
Source
Migrated from the awesome-mcp-servers navigation directory (category: Knowledge & Memory). See https://github.com/dengls24/annota.