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Extract text and metadata from PDFs via URL or Base64 input.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PDF Extraction MCP Server" yet — see the docs or source repo.
Extract the full text and document metadata from this PDF URL, and format the result with title, authors, page count, and a body summary.
Returns the paper text and key metadata for reading, archiving, or further analysis.
Use a bearer token to access this internal PDF URL, extract the main text, creation date, author, and file metadata, and return structured JSON.
Produces a structured extraction result from an authenticated PDF, suitable for internal workflows.
Here is a Base64-encoded PDF. Extract all readable text and list metadata such as title, author, and page count.
Returns the full text and basic metadata from the Base64 PDF for search and automation.
Extract structured data from academic PDFs with natural-language querying and batch workflows.
Extract text, images, tables, links, and metadata from PDF files.
Extract validated typed JSON from URLs using a provided schema.
Extract text, images, and tables from PDFs with multilingual analysis.
Enable AI to read PDFs, extract content, and search specific information.
Read protected or standard PDFs and extract text from large documents.