bear-notes-mcp MCP Server
vasylenko/bear-notes-mcp
MCP Server for Bear note taking app available as Claude Desktop extension or standalone server for any other AI tool
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
vasylenko/bear-notes-mcp is a TypeScript MCP server licensed under MIT. 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.
Ranked #256 out of 28002 indexed tools.
In the top 1% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
153 stars → growing community
Last commit 1d ago → actively maintained
27/38 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
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From the README
# Bear Notes Claude Extension (aka MCP Bundle)
Search, read, create, and update your Bear Notes directly from Claude conversations.
This **local-only** extension reads Bear's SQLite database for fast search with OCR support, and uses Bear's native API for writes. Complete privacy: no external connections, all processing on your Mac.
Example prompts:
> Summarize our conversation and create a new Bear note with it
> Interview me about my side project idea and capture the key points in a Bear note
> Help me restructure the outline in my "Product Launch" note
> Let's brainstorm blog post ideas — save the best ones to my Bear note and refine them as we go
## ✨ Key Features
- **10 MCP tools** for searching, reading, creating, updating, tagging, and archiving notes
- **OCR search** — finds text inside attached images and PDFs
- **Date-based search** with relative dates ("yesterday", "last week", "start of last month")
- **Tag management** — list tags as a tree, find untagged notes, a Read full README on GitHub → Get the weekly AgentRank digest
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