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.

Bear MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Bear
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Bear as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="bear_agent",
    instruction=(
        "You help users interact with Bear "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bear MCP Server

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

Google ADK natively supports Bear as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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

The Bear MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Bear to Google ADK via MCP

Follow these steps to integrate the Bear MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Bear via MCP

Why Use Google ADK with the Bear MCP Server

Google ADK provides unique advantages when paired with Bear through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Bear

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Bear tools with BigQuery, Vertex AI, and Cloud Functions

Bear + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Bear MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Bear and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Bear tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Bear regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Bear

Bear MCP Tools for Google ADK (10)

These 10 tools become available when you connect Bear to Google ADK via MCP:

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

Example Prompts for Bear in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Bear immediately.

"Search my Bear notes for anything mentioning 'Database Migration 2026'."

"Rename the tag '#project/legacy' to '#archive/legacy_projects' across all my notes."

"Create a new note with the title 'Meeting Notes - App V2' and tag it 'work/meetings/vurb'."

Troubleshooting Bear MCP Server with Google ADK

Common issues when connecting Bear to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Bear + Google ADK FAQ

Common questions about integrating Bear MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.