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How to Use the Capacities MCP in Google ADK

Connect your Google ADK enterprise agents to your Capacities workspace.

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Google ADK

Connect Capacities MCP to Google ADK

Create your Vinkius account to connect Capacities 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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Google ADK agents reading Capacities spaces

Use `list_spaces` and `get_space_info` to map out your available containers. Your agents gain visibility into your existing structures before they attempt to write new data. This gives your agent a blueprint of your setup. It prevents errors by checking property requirements before sending new payloads.

Link media to records with Google ADK

Execute `save_media` to bind files directly to your nodes. Your agents can now process external assets and store them alongside your relevant research. It handles the binary attachment process, linking your files to the correct object ID. Your workspace stays organized without manual sorting.

Automated tagging via Google ADK workflows

Invoke `add_tag` to categorize entities as your agent processes information. It creates dynamic relations between your notes and existing tags. Your graph becomes more connected as your agent iterates. It reduces the effort required to maintain your personal knowledge structure.

Setup guide

Set up Capacities 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 Capacities 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="Capacities_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Capacities 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 Capacities. 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 Capacities MCP in Google ADK

Your agent calls `get_object` to pull specific records from your graph. It returns the full property set, allowing the model to reason over your existing notes.
You can restrict the exposed tools using the tool_names filter in your agent configuration. This limits what the agent can access in your workspace.
Yes, every action is logged through the standard MCP interface. You monitor what the agent does in your workspace through your existing tracking setup.
It accesses only the space metadata and record content you explicitly request. The server operates as a gateway, obeying the constraints you set in your code.
Your data travels over a secure, ephemeral connection. We do not persist your records, ensuring your private notes stay strictly between your agent and your space.

Start using the Capacities MCP today

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

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