Notebook MCP Server
Enables to create notebooks and notes with tags, and perform full-text search across notes using FTS5 syntax, all stored locally in SQLite.
README
Notebook MCP Server
A simple Model Context Protocol server for creating notebooks and notes with tags and full-text search. Notes are stored in a single SQLite database with an FTS5 index for search — no external services required.
Tools
| Tool | Description |
|---|---|
create_notebook |
Create a notebook (name, optional description). |
create_note |
Add a note to a notebook (notebook, title, content, optional tags). |
read_note |
Read a full note by note_id. |
update_note |
Update a note's title, content, and/or tags (only provided fields change). |
search_notes |
Full-text search over titles, content, and tags; filter by notebook and/or tag. Supports FTS5 syntax (AND, OR, NOT, "exact phrase", prefix*); queries that aren't valid FTS5 syntax (e.g. e-mail) are matched as literal words instead. |
Errors (duplicate notebook, missing note, invalid arguments) are raised as
exceptions, so MCP clients receive them as proper tool errors (isError), not
as text that looks like a successful result.
Quick start (no clone needed)
The only prerequisite is uv.
The commands below are copy-pasteable as-is — no paths to edit.
Claude Code:
claude mcp add notebook -- uvx --from git+https://github.com/lucidbard/notebook-mcp-server notebook-mcp
Claude Desktop — add to claude_desktop_config.json
(Settings → Developer → Edit Config), then restart the app:
{
"mcpServers": {
"notebook": {
"command": "uvx",
"args": ["--from", "git+https://github.com/lucidbard/notebook-mcp-server", "notebook-mcp"]
}
}
}
Try it
Ask your client something like:
Create a notebook called "ideas", then save a note in it titled "Search UX" tagged
uxandsearch, with a few thoughts on query autocomplete.
Then later:
Search my notes for anything about autocomplete.
The model will call create_notebook, create_note, and search_notes for you.
Where your notes live
All data is one SQLite file at ~/.notebook-mcp/notebook.db (created on first
run). Back up that file to back up your notes; delete it to start fresh. Set
the NOTEBOOK_DB environment variable to use a different location — handy for
keeping separate databases per project.
Installing from a clone
If you'd rather not run from GitHub directly (Python 3.10+ required):
git clone https://github.com/lucidbard/notebook-mcp-server.git
cd notebook-mcp-server
pip install .
claude mcp add notebook -- notebook-mcp
pip install . puts a notebook-mcp command on your PATH, so the client
config never needs a file path. (If you do point a client at the script
directly, use the absolute path to notebook_server.py — placeholder
paths like /path/to/... fail to connect, and Git Bash silently rewrites
them into C:/Program Files/Git/... on Windows.)
Development
pip install -r requirements.txt
python notebook_server.py # run the server (MCP over stdio)
python test_fixes.py # tool, error-path, and search tests
python stdio_test.py # end-to-end test over MCP stdio
python stdio_test.py uvx --from . notebook-mcp # same, against the packaged install
Both test scripts use a throwaway temporary database — they never touch
~/.notebook-mcp/notebook.db.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.