notion-paper-table

Notion MCP tools extract paper metadata from local Markdown documents and populate a structured Notion database with fields like Paper, Category, Venue, Year, arXiv ID, and Relevance using the notion-create-database and notion-create-pages APIs.

Extracted metadata fields include Paper, Category, Venue, Year, arXiv ID, arXiv Link, One-liner, and Relevance. These populate a searchable Notion literature table to track surveyed papers and related-work connections across projects.

Yes, a target Notion page URL or ID is required to host the database. The Skill uses Notion MCP tools including notion-create-database, notion-create-pages, and notion-fetch to populate the literature table within that specified Notion page.

Yes, the Skill automatically extracts arXiv IDs, arXiv links, paper titles, venues, and concise descriptions from local documents. It structures this data into a Notion database for quick search, filtering, and cross-referencing of literature.

Building a structured Notion database with extracted metadata is an effective way to track surveyed papers. This Skill populates fields like Category, One-liner, and Relevance to enable quick search, filtering, and cross-referencing of related-work connections across projects.

Yes, the Skill requires Notion MCP tools specifically notion-create-database, notion-create-pages, and notion-fetch to automatically create the database structure and populate it with extracted literature metadata from your local documents.