fetch_content
Fetches full metadata and text content for a specific paper by ID with complete text extraction.
How to use it
fetch_content is exposed by the Scientific Papers MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the fetch_content tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Scientific Papers MCP
npm install -g @futurelab-studio/latest-science-mcpOther tools in Scientific Papers MCP (15)
"cs.AI", "physics.gen-ph", "math.CO"
Category ID or concept name (varies by source)
Concept name or OpenAlex concept ID
Number of papers to fetch (default: 50, max: 200)
Fetches the latest papers from any source for a given category with metadata only (no text extraction).
Fetches the top cited papers from OpenAlex for a given concept since a specific date.
"all" "title" "abstract" "author" "fulltext" (default: "all")
Paper ID (format varies by source)
Lists available categories/concepts from any data source.
"artificial intelligence", "machine learning", "C41008148"
Search query string (max 1500 characters)
Searches for papers across multiple academic sources with field-specific search and sorting options.
Start date in YYYY-MM-DD format
"relevance" "date" "citations" (default: "relevance")
"arxiv" "openalex" "pmc" "europepmc" "biorxiv" "core"