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How to Use the Bear MCP in Google ADK

Let Gemini agents query, edit, and tag your local Bear notes using the enterprise-grade Google ADK.

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…and any MCP-compatible client

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Google ADK

Connect Bear MCP to Google ADK

Create your Vinkius account to connect Bear to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Enterprise Knowledge Synthesis with Google ADK

This MCP Server exposes the `open_note` and `search_notes` tools to let Gemini ingest your entire personal knowledge base. Your agent can pull hundreds of markdown files directly into its massive million-token context window for deep analysis. You can feed your enterprise agent complex prompts that cross-reference your internal Bear documentation with live data from BigQuery or Vertex AI. The agent reads the exact markdown files it needs to build a detailed answer.

Automated Markdown Creation and Appending

The `create_note` and `add_text` tools allow your agent to write new reports and append fresh data to existing files. It takes raw analytical outputs from your Google Cloud pipelines and formats them cleanly into your personal wiki. This eliminates the friction of copy-pasting report summaries. Your agent handles the formatting, inserts the correct headers, and appends the latest updates to your running logs automatically.

Global Tag and Taxonomy Management

The `list_tags` and `rename_tag` tools give your agent full control over your note organization. It inspects your parent-child tag structures and updates them globally to match your enterprise naming conventions. If a project name changes, the agent renames the tag across all mapped files in seconds. You keep a perfectly organized workspace without touching a single manual menu.

Setup guide

Set up Bear MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Bear tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Bear_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bear tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bear. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bear MCP in Google ADK

You use the `McpToolset` class and pass the Vinkius HTTP URL. Then, pass that toolset object into your `LlmAgent` constructor to expose all ten tools to Gemini.
Yes. The agent uses `add_text` to append new logs or markdown chunks to any existing note. It can also create entirely new notes from scratch using `create_note`.
Yes, the agent can use `rename_tag` and `delete_tag` to organize your workspace. It queries the taxonomy with `list_tags` first to map out the hierarchy before making changes.
Yes. You can use the optional tool names filter in the ADK setup to restrict access. For example, you can expose only search tools and block destructive tools like `trash_note`.
Your markdown files and tags are processed in-memory within an isolated V8 sandbox running the MCP Server. Vinkius never stores your notes, and transport encryption ensures your private thoughts stay between your local machine and Google Cloud.

Start using the Bear MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Bear. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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