bearnotes-mcp
A local MCP server that lets MCP clients read and edit Bear notes on macOS using Bear's local database and x-callback-url scheme.
README
bearnotes-mcp
A tiny local MCP server that lets any local MCP client on macOS — Claude Code, Claude Desktop, Cursor, VS Code — read and edit your Bear notes: search, read, create, append, and overwrite (e.g. tick a checkbox).
No Bear API token is needed. Reads use Bear's local database (opened
read-only); writes use Bear's bear://x-callback-url scheme. Neither requires a
token, and nothing here ever touches the network.
Requirements
- macOS with Bear installed and opened at least once (the database only exists after Bear has run).
- uv — install with
curl -LsSf https://astral.sh/uv/install.sh | sh(orbrew install uv).
No Python setup, no token.
Install — Claude Code
1. Warm the cache (first run downloads ~30 packages — may take a minute; ends with selfcheck ok):
uvx bearnotes-mcp --selfcheck
2. Register — one command, at user scope so it's available in every project:
claude mcp add bear -s user -- uvx bearnotes-mcp
3. Verify:
claude mcp list # → bear: ✔ Connected
If the very first connect times out, just retry (the cache is warm after one attempt), or start Claude once with
MCP_TIMEOUT=60000 claude.
Install — Claude Desktop, Cursor, VS Code
Add an mcpServers entry. Use the full path to uvx — GUI apps don't see
your shell PATH (which uvx, e.g. /opt/homebrew/bin/uvx):
{
"mcpServers": {
"bear": {
"command": "/opt/homebrew/bin/uvx",
"args": ["bearnotes-mcp"]
}
}
}
- Claude Desktop — Settings → Developer → Edit Config (creates
~/Library/Application Support/Claude/claude_desktop_config.json); paste, then fully quit and restart. Logs:~/Library/Logs/Claude/mcp-server-bear.log. - Cursor — same block in
~/.cursor/mcp.json. - VS Code (Copilot) —
.vscode/mcp.json, but the top-level key isservers(notmcpServers). - Windsurf / Cline / Zed / LM Studio — same stdio pattern; check their docs for the exact file.
Cannot work: claude.ai in the browser, mobile apps, remote/hosted connectors, and non-Mac machines — they can't spawn a local process, and Bear lives only on your Mac.
<details> <summary>Alternatives: bleeding edge, or run from a clone</summary>
Latest main without waiting for a release (builds from GitHub each install):
claude mcp add bear -s user -- uvx --from git+https://github.com/samcrudge/bearnotes-mcp bearnotes-mcp
Clone it to read/hack the code first:
git clone https://github.com/samcrudge/bearnotes-mcp
claude mcp add bear -s user -- uv --directory /absolute/path/to/bearnotes-mcp run bearnotes-mcp
To point at a non-default Bear database, add -e BEAR_DB=/path/to/database.sqlite
to the claude mcp add command.
</details>
How it works
- Reads — Bear's local SQLite DB, opened read-only (
mode=ro). - Writes — Bear's
x-callback-urlscheme (create,add-textinappend/replace_allmode).
The DB is never written directly (that corrupts Bear's sync). Before any
full-body overwrite, the note's current text is snapshotted to
~/.bear-mcp-backups/ as a timestamped .md file.
Tools
| Tool | What it does |
|---|---|
search_notes(query="", tag="", limit=20) |
Search non-trashed notes, optional tag filter (incl. subtags); returns id, title, tags, pinned, modified |
read_note(id) |
Full note + tags, pinned, and open/done checkbox counts |
list_tags() |
Every tag with its live-note count |
get_backlinks(id) |
Notes linking to this one, and notes it links to (Bear [[wiki-link]] graph) |
create_note(title, text="", tags=[]) |
Create a new note |
append_note(id, text) |
Append to a note |
prepend_note(id, text) |
Prepend to a note (after the title line) |
replace_note(id, text) |
Overwrite a note's entire text; backs up first |
toggle_task(id, match, done=None) |
Check/uncheck one checkbox line by substring (done None=flip); errors if ambiguous |
open_note(id) |
Open and focus a note in the Bear app |
Resources (read-only, @-mentionable): bear://notes (index of recent notes) and bear://note/{id} (a note's full text).
What this can access
Once connected, the client can read every non-trashed note (encrypted notes
are refused) and create, append to, or overwrite notes. Everything runs
locally with no network calls; the database is opened strictly read-only;
and before any full-body overwrite the current text is backed up to
~/.bear-mcp-backups/. Tools carry MCP annotations (reads marked read-only,
replace_note marked destructive) so clients can surface the right warnings.
Troubleshooting
- First connect times out — retry (cache is warm now), or
MCP_TIMEOUT=60000 claude. - Desktop fails instantly —
"command"must be the full path touvx(which uvx). - No notes found — open Bear at least once so its database exists.
License
Apache-2.0. See LICENSE.
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.