upnote-lens-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@upnote-lens-mcp search my notes for travel itinerary"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
upnote-lens-mcp
A hybrid MCP server that lets your AI assistant work with your UpNote notes:
π Find & search notes by keyword across titles and bodies.
π Read & summarize β it returns the actual note text, so the AI can summarize, analyze, or answer questions about what you've written.
βοΈ Create new notes from the chat.
Under the hood: reads come from the local UpNote SQLite database (read-only),
so real content comes back as text; writes go through the upnote:// URL scheme
(x-callback-url) and never touch the database.
The write side (URL scheme) is based on chadthornton/upnote-mcp (MIT).
Usage
Once it's registered, just talk to your AI assistant in plain language β it picks the right tool for you. No commands or syntax to memorize. For example:
"Summarize my UpNote notes about the Q3 roadmap."
"Find notes where I mentioned Postgres tuning and pull out the key points."
"What did I write about onboarding last month?"
"Show me my 5 most recent notes."
"Create a note titled 'Standup 6/4' with today's three priorities."
Reading, searching, summarizing, and creating all happen through natural conversation.
Related MCP server: obsidian-mcp
Requirements
macOS β fully supported and verified.
Windows β best-effort. URLs launch through the registered scheme handler, and the default DB path is guessed under
%APPDATA%\UpNote\. This path is not verified by the author β if reads fail, setUPNOTE_LENS_DB(see below).Python 3.10+ (or just uv, which brings its own).
UpNote desktop app installed.
Install & register
π€ Let AI install it (easiest)
Give your MCP client (Claude, etc.) a link to
llms-install.md and it will run the steps and set everything
up for you.
π§ Install it yourself
Pick the first option that fits what you already have. Each option includes how to register it in Claude.
Claude Desktop config file (referenced in each option):
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Option 1 β with uv (recommended)
Requires uv installed once
(brew install uv, or curl -LsSf https://astral.sh/uv/install.sh | sh).
After that there's no package install step β uvx downloads, caches, and
runs upnote-lens-mcp on demand.
Claude Code:
claude mcp add upnote-lens -- uvx upnote-lens-mcpClaude Desktop:
{ "mcpServers": { "upnote-lens": { "command": "uvx", "args": ["upnote-lens-mcp"] } } }Option 2 β with pip (if you don't have uv)
pip install upnote-lens-mcpClaude Code:
claude mcp add upnote-lens -- upnote-lens-mcpClaude Desktop:
{ "mcpServers": { "upnote-lens": { "command": "upnote-lens-mcp" } } }Option 3 β from GitHub over HTTPS (if you don't have pip)
When you can't use PyPI/pip, install straight from the repo with uv. (No uv yet?
curl -LsSf https://astral.sh/uv/install.sh | sh.)
Claude Code:
claude mcp add upnote-lens -- uvx --from git+https://github.com/AwesomeHye/upnote-lens-mcp upnote-lens-mcpClaude Desktop:
{ "mcpServers": { "upnote-lens": { "command": "uvx", "args": ["--from", "git+https://github.com/AwesomeHye/upnote-lens-mcp", "upnote-lens-mcp"] } } }Tools
Read (queries the local DB β returns real text)
Tool | Description |
| Substring search over title/body. Returns id, title, updated time, snippet |
| Full title + body text of a note (optionally raw HTML) |
| Most recently updated notes |
| Notebooks with note counts and parent |
| Notes inside a notebook |
| Tags with note counts |
| Notes carrying a tag |
Write (upnote:// URL scheme)
Tool | Description |
| Create a note. |
| Open an existing note in the app |
| Open a notebook in the app |
Tag limitation: UpNote's
note/newURL scheme has no tag parameter, and hashtags placed in the body stay as plain text rather than becoming real tags (they only convert to tags when typed in the editor). If you need tags, add them manually in the app after the note is created.
Override the DB path
If the database isn't in the default location (or you're on Windows), point at it with an environment variable:
UPNOTE_LENS_DB=/path/to/upnote.sqlite3Default paths:
macOS:
~/Library/Containers/com.getupnote.desktop/Data/Library/Application Support/UpNote/upnote.sqlite3Windows (best guess):
%APPDATA%\UpNote\upnote.sqlite3
License
MIT. See LICENSE for details. The URL-scheme formats and launch approach on the write side are adapted from chadthornton/upnote-mcp (MIT).
Available Tools
10 toolscreate_noteB
Create a new note in UpNote via the URL scheme.
content is treated as Markdown by default. notebook matches by name. Tags cannot be set via the URL scheme β tag the note manually in the app. Returns the launched upnote:// URL.
Inputs: title, content, notebook, markdown, +1 more.
get_noteA
Return a single note's full title and body text by its id.
Set include_html=true to also get the raw HTML body.
Inputs: note_id (required), include_html.
list_notebooksA
List all notebooks with their note counts and parent id.
Inputs: no named parameters. Returns: result
list_notes_by_tagC
List notes carrying a given tag, matched by tag title.
Inputs: tag_title (required), limit. Returns: result
list_notes_in_notebookC
List notes inside a notebook (resolved via the notebook's note list).
Inputs: notebook_id (required), limit. Returns: result
list_recentC
List the most recently updated notes (id, title, updated time).
Inputs: limit. Returns: result
list_tagsA
List all tags with their note counts.
Inputs: no named parameters. Returns: result
open_noteC
Open an existing note in the UpNote app by its id.
Inputs: note_id (required), new_window.
open_notebookB
Open a notebook in the UpNote app by its id.
Inputs: notebook_id (required).
search_notesA
Search notes by title/body (case-insensitive substring match).
Returns matching notes with id, title, last-updated time, and a text snippet around the match β actual content, read from the local DB.
Inputs: query (required), limit. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
TDQS
Scored across 10 tools
Each tool targets a distinct resource and action: creation, retrieval by id, listing by various criteria (notebooks, tags, recent), searching, and opening in the app. There is no ambiguity because the operations are clearly separated by resource type (note, notebook, tag) and action verb.
All tool names follow a consistent verb_noun pattern (e.g., create_note, get_note, list_notebooks, search_notes). The naming uses lowercase and underscores uniformly, making it predictable and easy for an agent to infer function from the name.
With 10 tools, the server provides a well-scoped set for note management. Each tool has a clear purpose and none feel redundant. This count is within the ideal range (3-15) and balances coverage without overwhelming the agent.
The server covers creation, reading, listing, searching, and opening notes/notebooks, but lacks update and delete operations. Additionally, there is no tool to manage tags (add/remove). These are notable gaps that may limit an agent's ability to perform full lifecycle management.
Maintenance
Related MCP Connectors
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Google Keep-style notes app with an MCP server for AI agents to read/write notes.
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Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
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