MCP Bear
Related Servers
Alternatives to MCP Bear
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceA local MCP server that lets MCP clients read and edit Bear notes on macOS using Bear's local database and x-callback-url scheme.10Apache 2.0
- AlicenseAqualityDmaintenanceA Model Context Protocol server that integrates with Bear App, enabling AI assistants to create, search, modify, and organize notes and tags through X-callback-URL scheme.168 npm1ISC
- AlicenseAqualityBmaintenanceMCP server for Bear notes via CloudKit. Full CRUD, tags, search, TODOs, attachments, and a context library for curated LLM knowledge bases.3564MIT
- FlicenseNot gradedqualityDmaintenanceMCP server for Bear notes app on macOS, enabling note reading, searching, creation, and management via Claude.1-
- 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-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that gives AI assistants read and write access to Bear notes on macOS.-
TDQS
Scored across 16 tools
Every tool has a clearly distinct purpose with no ambiguity. For example, 'add_tags' and 'add_text' are clearly different operations on notes, while 'get_notes_by_tag' and 'get_notes_like' target different filtering criteria. The descriptions make each tool's specific function immediately apparent.
All tools follow a consistent verb_noun pattern with snake_case throughout (e.g., 'create_note', 'get_notes_by_tag', 'archive_note'). The naming is predictable and readable, with verbs like 'add', 'get', 'open', 'rename', 'search', and 'trash' used appropriately across the set.
With 16 tools, this is well-scoped for a note management server like Bear. Each tool earns its place by covering distinct operations such as CRUD for notes, tag management, archiving, and search, without feeling bloated or insufficient for the domain.
The tool set provides complete coverage for note management in Bear. It includes full CRUD operations (create, read, update via add_tags/add_text, delete via trash_note), lifecycle management (archive/unarchive), tag operations (get, rename), and comprehensive search capabilities (by ID, tag, text, or general search). No obvious gaps exist for typical agent workflows.