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Connect to Evernote via MCP to manage notebooks, notes, and attachments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "yinxiang-mcp" yet — see the docs or source repo.
Using yinxiang-mcp, list notes in my "Project Materials" notebook and show titles and summaries sorted by last updated time.
A list of notes from the specified notebook, including titles, update times, and brief content.
Use yinxiang-mcp to read the note "Meeting Minutes" and return its raw ENML content with the original structure preserved.
The raw ENML text of the note, suitable for further parsing or migration.
Using yinxiang-mcp, find resource attachments in the note "Product Proposal" and list each attachment's name, type, and related note.
A resource attachment list for the note, including basic file details and the related note.
When you need Evernote access inside an MCP-compatible AI client, this tool can read notebooks, notes, and attachments for downstream organization, summarization, or Q&A.
When a team needs raw ENML content, it can provide the original note format for parsing, migration, or structured processing.
If materials are spread across Evernote attachments, this tool can retrieve and operate on those resources for later archiving or organization.
This is an unofficial Evernote MCP server. It supports operations on notebooks, native super notes, raw ENML, and resource attachments.
Based on the provided description, it supports notebooks, native super notes, raw ENML, and resource attachments. For the exact object scope and methods, see the source repository.
The provided material does not include installation steps or prerequisites. For account authorization, keys, or runtime requirements, see the source repository.
Manage Evernote China notebooks and notes using natural language commands.
Access Yinxiang notebooks to list, search, create, and retrieve notes.
Manage Evernote notes with natural language, semantic search, and AI actions.
Create, organize, and export development notes with tags, status, and priority.
Load, edit, search, and save Jupyter notebooks through MCP tools.
Manage notes through MCP with resources, prompts, and a note-adding tool.