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Give AI assistants persistent memory for saving, searching, and retrieving notes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "textview-mcp" yet — see the docs or source repo.
Please save the following project meeting notes to TextView with the title "Q3 Product Planning Meeting," and record the date, owners, and action items: 1. Launch the new pricing page in September; 2. Li Min owns user interviews; 3. Finish prototype review by next Friday.
The AI saves a structured meeting note to TextView for future retrieval.
Search TextView for notes related to "pricing strategy" from the past three months, and summarize the key decisions, who proposed them, and the corresponding dates.
Returns matching notes and a time-ordered summary of the decisions.
Retrieve my "Customer Interview Insights" note from TextView and use the main pain points to draft a product requirements outline.
The AI retrieves prior notes and generates a new requirements draft from them.
Turn local notes into a private searchable knowledge base for AI assistants.
Save structured technical articles to Apple Notes and local Markdown files.
Give AI assistants persistent memory and unified recall across clients and MCP tools.
Connect Evernote to your assistant to browse notebooks, notes, and create entries.
Provide persistent local semantic memory for MCP tools to store and search notes.
Manage personal memory, profiles, notes, and semantic search in one place.