by vasylenko · MCP Server · ★ 201
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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
| Stars | 201 |
| Forks | 21 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.9209789548921/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-28 |
| Created | 2025-08-31 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
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bear-notes-mcp is MCP Server for Bear note taking app available as Claude Desktop extension or standalone server for any other AI tool. It is categorized as a MCP Server with 201 GitHub stars.
bear-notes-mcp is primarily written in TypeScript. It covers topics such as ai-assistant, bear, bear-notes.
You can find installation instructions and usage details in the bear-notes-mcp GitHub repository at github.com/vasylenko/bear-notes-mcp. The project has 201 stars and 21 forks, indicating an active community.
bear-notes-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to bear-notes-mcp on Agent Skills Hub include daymon, mcp-server-tree-sitter, better-bear. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.