Google PageRank for AI agents. 25,000+ tools indexed.

bear-notes-mcp MCP Server

vasylenko/bear-notes-mcp

Score: 60.8 ↓ 2.7% Rank #6078 MCP Server
[![AgentRank](https://agentrank-ai.com/api/v1/badge/vasylenko--bear-notes-mcp)](https://agentrank-ai.com/tool/vasylenko--bear-notes-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of vasylenko/bear-notes-mcp? Claim this listing →

MCP Server for Bear note taking app available as Claude Desktop extension or standalone server for any other AI tool

Add AgentRank to Claude Code Discover and compare tools like vasylenko/bear-notes-mcp — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

vasylenko/bear-notes-mcp is a TypeScript MCP server licensed under Apache-2.0. MCP Server for Bear note taking app available as Claude Desktop extension or standalone server for any other AI tool Topics: bear, claude, claude-desktop, mcp-server, bear-notes, claude-ai, mcp-bundle, notes, notetaking, productivity, writing, gtd-applications, second-brain, ai-assistant, secondbrain.

Ranked #6078 out of 24846 indexed tools.

Ecosystem

TypeScript Apache-2.0 46 npm/wk
bearclaudeclaude-desktopmcp-serverbear-notesclaude-aimcp-bundlenotesnotetakingproductivitywritinggtd-applicationssecond-brainai-assistantsecondbrain

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 205

205 stars → growing community

Freshness 25% 4mo ago

Last commit 4mo ago → stale

Issue Health 25% 89%

39/44 issues closed → responsive maintainer

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads 13% 46/wk

46 weekly installs → early adoption

PyPI Downloads N/A
Forks 22
Description Good
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 125 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Install in your agent

claude mcp add bear-notes-mcp -- npx -y bear-notes-mcp
codex mcp add bear-notes-mcp -- npx -y bear-notes-mcp
{"mcpServers":{"bear-notes-mcp":{"command":"npx","args":["-y","bear-notes-mcp"]}}}
hermes mcp add bear-notes-mcp --command npx --args -y bear-notes-mcp

Badge all embed codes →

AgentRank score for vasylenko/bear-notes-mcp
[![AgentRank](https://agentrank-ai.com/api/v1/badge/vasylenko--bear-notes-mcp)](https://agentrank-ai.com/tool/vasylenko--bear-notes-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/vasylenko--bear-notes-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/vasylenko--bear-notes-mcp" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="vasylenko/bear-notes-mcp"></script>

Matched Queries

"mcp server""mcp-server"topic:mcp-server

From the README

# Bear Notes MCP Server

An unofficial, opinionated MCP server for Bear Notes — built around relevance-ranked search instead of substring matching. Results come ranked across titles, bodies, and hierarchical tags, with snippets and combinable filters (tag, date, pinned). Reads run direct against Bear's SQLite database — no Bear app required for queries.

Writes route through Bear's own URL handler — atomic and validated by Bear. Offline-first: no network calls, no telemetry, all processing on your Mac. Works with any MCP client — Claude Desktop, Claude Code, Codex, Gemini, Cursor. Ships as a one-click **.mcpb extension** or a standalone **npm package**.

Example prompts:

> Find the deep-dive I wrote on export pipelines, somewhere under #engineering/

> Append today's decisions to the 'Decisions' section of my Weekly Ops note

> Pull every note under #research/llm-evals into a survey outline

> Find my notes tagged #blog/drafts and draft this week's post outline

## ✨ Key Features

- *
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.