PDF MCP vs GetNote MCP Server

Choosing between PDF MCP and GetNote MCP Server? Both are file management MCP servers, but they lean into different workflows. This page focuses on where each one is actually stronger, not just raw counts.

Choose PDF MCP for

Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation.

Choose GetNote MCP Server for

Automatically saving research links into organized knowledge bases.

PDF MCP

23by I-CAN-hackstdio

An MCP server for reading, rendering, and searching PDF files.

Best for Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation.

An MCP server for reading, rendering, and searching PDF files. Built with PyMuPDF and PyMuPDF4LLM.

Designed for use with LLMs that need to read datasheets and other PDFs containing diagrams, tables, and technical content.

What it does

  • Extract text in multiple formats including JSON, text, markdown, and HTML
  • Render PDF pages as PNG images with configurable DPI
  • Perform case-insensitive full-text search across PDF documents
  • Retrieve document metadata and table of contents
  • Optionally exclude headers and footers during text extraction

Available tools (5)

get_pdf_infoGet metadata about a PDF (page count, author, title, etc.)
get_table_of_contentsGet the outline/bookmarks with page numbers for each section
get_page_textExtract text from a page range in json, text, markdown, or html format.
get_page_imageRender a single page as a PNG image, returned as base64 or written to a temp file.
search_textCase-insensitive text search across the entire PDF, returning page numbers and surrounding context
View PDF MCP details
vs

GetNote MCP Server

23by iswallestdio

MCP server for Get笔记 Open API to manage notes and knowledge bases.

Best for Automatically saving research links into organized knowledge bases.

MCP (Model Context Protocol) server for Get笔记 Open API.

🔑 获取 API Key：https://www.biji.com/openapi.

What it does

  • Full CRUD operations for notes including text, links, and images.
  • Knowledge base management including batch operations and organization.
  • Integration with blogger content and live stream transcripts.
  • Automated image upload handling via OSS.
  • API quota monitoring.

Available tools (21)

list_notesGet a list of notes using cursor pagination.
get_noteRetrieve details of a specific note.
save_noteCreate a new note (plain text, link, or image).
get_note_task_progressCheck the creation progress of a link-based note.
delete_noteMove a note to the trash.
add_note_tagsAdd tags to a note.
delete_note_tagRemove tags from a note.
list_topicsGet a list of knowledge bases.
create_topicCreate a new knowledge base.
list_topic_notesGet a list of notes within a knowledge base.
batch_add_notes_to_topicAdd multiple notes to a knowledge base.
remove_note_from_topicRemove a note from a knowledge base.
get_upload_configGet image upload configuration.
get_upload_tokenGet a pre-signed URL for image uploads.
upload_imageUpload an image to OSS.
list_topic_bloggersGet a list of bloggers subscribed to a knowledge base.
list_topic_blogger_contentsGet a list of content summaries from a blogger.
get_blogger_content_detailGet detailed content from a blogger including original text.
list_topic_livesGet a list of completed live streams in a knowledge base.
get_live_detailGet details of a live stream including AI summary and transcript.
get_quotaCheck API usage quota.

Setup requirements

Requires 2 environment variables: GETNOTE_API_KEY, GETNOTE_CLIENT_ID. Available via npm.

View GetNote MCP Server details

Biggest differences

ComparePDF MCPGetNote MCP Server
Best forAnalyzing technical datasheets by extracting diagrams and tables for LLM interpretation.Automatically saving research links into organized knowledge bases.
StandoutExtract text in multiple formats including JSON, text, markdown, and HTML.Full CRUD operations for notes including text, links, and images.
Setupuvx or codex, stdio transport.npm, needs 2 env vars, stdio transport.
Transportstdiostdio
Community23 GitHub stars23 GitHub stars

Bottom line

Pick PDF MCP if...

Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation. Extract text in multiple formats including JSON, text, markdown, and HTML. uvx or codex, stdio transport.

Pick GetNote MCP Server if...

Automatically saving research links into organized knowledge bases. Full CRUD operations for notes including text, links, and images. npm, needs 2 env vars, stdio transport.

The real split here is workflow fit, not raw counts. PDF MCP: Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation. GetNote MCP Server: Automatically saving research links into organized knowledge bases. Public traction is fairly close (23 vs 23 stars).

Keep the comparison logic in memory

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How to set up PDF MCP → How to set up GetNote MCP Server →