Bear App MCP Server
Related Servers
Alternatives to Bear App MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA Model Context Protocol server that provides Claude with access to search, retrieve, and analyze notes from the Bear App through natural language queries.78-
- AlicenseAqualityBmaintenanceMCP server for Bear notes via CloudKit. Full CRUD, tags, search, TODOs, attachments, and a context library for curated LLM knowledge bases.3566MIT
- AlicenseAqualityDmaintenanceA Python-based MCP server that provides read and write access to Bear Notes on macOS using SQLite for data retrieval and x-callback-url for modifications. It enables users to search, create, archive, and manage notes and tags directly through a Model Context Protocol interface.161ISC
- FlicenseNot gradedqualityDmaintenanceAn MCP server that gives AI assistants read and write access to Bear notes on macOS.-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that allows AI assistants like Claude to read notes from the Bear note-taking app in a safe, read-only mode.17 npm15MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.14,502 npm2MIT
TDQS
Scored across 16 tools
Each tool has a clearly distinct purpose targeting specific Bear app operations, such as note management (create, archive, trash), tag handling (get, rename, delete), and retrieval (search, get_today, get_todo). There is no overlap or ambiguity between tools, making misselection unlikely.
All tools follow a consistent 'bear_verb_noun' pattern using snake_case, such as bear_create_note, bear_get_tags, and bear_archive_note. This predictable naming convention enhances readability and usability across the entire set.
With 16 tools, the server provides comprehensive coverage for Bear app interactions, including note CRUD operations, tag management, and specialized queries. The count is well-scoped for the domain, offering a robust set without being overwhelming.
The tool set offers complete lifecycle coverage for notes and tags, including creation, retrieval, updating (via add_text/rename_tag), and deletion/archiving. It also supports advanced features like URL grabbing and filtered searches, leaving no obvious gaps for typical agent workflows.