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Bear MCP Server

Name: Bear
Availability: InStock
Author: Vinkius

bear.app

Built by Vinkius GDPR ToolsFree for Subscribers

Manage your Bear notes via AI — search, create, and organize your markdown knowledge base autonomously.

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V8 IsolateSandboxed

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<40msKill switch

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What is the Bear MCP Server?

The Bear MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Bear via 10 tools. Manage your Bear notes via AI — search, create, and organize your markdown knowledge base autonomously. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

add_textarchive_notecreate_notedelete_taglist_tagsopen_noteopen_tagrename_tagsearch_notestrash_note

Tools for your AI Agents to operate Bear

Ask your AI agent "Search my Bear notes for anything mentioning 'Database Migration 2026'." and get the answer without opening a single dashboard. With 10 tools connected to real Bear data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

Bear MCP Server capabilities

10 tools

add_text

Append or prepend Markdown chunks to a Bear note

archive_note

Archive an explicit Bear Note

create_note

Create a new native Bear note

delete_tag

Destroy entirely a Tag constraint globally

list_tags

g. parent/child). Retrieve the exact Tags taxonomy nesting globally

open_note

Retrieve explicit complete Markdown content of a Bear note

open_tag

List all explicit Bear notes matching a specific tag

rename_tag

Rename globally an entire tag across all mapped Notes

search_notes

g. @todo @today). Search across all Bear app notes

trash_note

Move an explicit Bear Note to the Trash

What the Bear MCP Server unlocks

Connect your Bear App database to any AI agent and manage your entire localized knowledge base through natural conversation.

O que você pode fazer

Note Operations — Search globally, read explicit full-markdown note content, and orchestrate the creation of rich hierarchical docs
Content Mutation — Inject new blocks into existing resources (add_text), avoiding constant manual copy-pasting
Lifecycle Control — Move outdated research aggressively to the Archive or permanently isolate abandoned drafts in the Trash
Taxonomy & Tags — List tags, explore bounded nested hierarchies, or completely rename structural tags across thousands of items

Como funciona

1. Subscribe to this server
2. Enter your Bear API Token (interfacing directly with your private local instance)
3. Take absolute control of your linked-thinking graph via Claude or Cursor natively

Say goodbye to breaking focus. Your autonomous agent fetches the precise code snippets or creative writing you saved months ago without breaking context.

Para quem é?

Developers — inject raw saved configuration blocks directly into your active coding environment
Writers & Researchers — let the AI read your fragmented thoughts, organize your nested active tags, and assemble pristine drafts
Productivity Enthusiasts — search the "@todo" tag instantly summarizing all pending personal action items

Frequently asked questions about the Bear MCP Server

Can the AI precisely update a note without overwriting its entire content?

Yes. It uses the add_text mutation tool, seamlessly attaching blocks of text to either the absolute bottom (append) or the explicit top (prepend) of the given UUID note, leaving the core intact.

Does it understand nested tags (like #work/design/logo)?

Bear relies heavily on tagging workflows. The agent natively queries and navigates explicit sub-tag pathways exactly like the application UI, mapping out your distinct taxonomy rules efficiently.

Can it search for uncompleted action items across many notes?

Simply ask the agent to search for the specialized string '@todo'. Bear exposes these native markers directly via the API, returning every unique UUID containing a matching string checklist efficiently.