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How to Use the Document360 MCP in Google ADK

Integrate Document360 with Google ADK to power your enterprise agents with live knowledge base data.

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Google ADK

Connect Document360 MCP to Google ADK

Create your Vinkius account to connect Document360 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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Navigate projects with Google ADK

Use `list_projects` to fetch your documentation versions and `list_categories` to define the scope of your agent's search. It provides a structured way to traverse large knowledge bases. This setup ensures your agent knows exactly where to look before it starts pulling data. It avoids the guesswork often found in less structured integrations.

Direct article retrieval and analysis

Your agent calls `get_article` to pull specific content for RAG or summarization tasks. It bypasses the need for manual copy-pasting. By calling `analytics`, the agent provides insights into your documentation's performance. It tracks how users reach your content so you can make data-driven decisions about your knowledge base.

Powerful searching for Google ADK agents

The `search` tool allows your agent to query across all articles instantly. It feeds the results directly into the agent's context window for processing. Use `list_team` to keep track of your internal contributors. It gives your agent the visibility it needs to understand the team context behind your documentation.

Setup guide

Set up Document360 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 Document360 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="Document360_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Document360 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 Document360. 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.

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Built-in savings

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

Single dashboard

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

Common questions about Document360 MCP in Google ADK

Yes. The server connects via standard HTTP, making it compatible with any environment running the Google ADK, including Vertex AI pipelines.
You provide an endpoint token during the server initialization. This token handles the security handshake, keeping your credentials separate from your agent code.
Yes. The `analytics` tool provides raw performance metrics. You can pass this data to Gemini to generate summaries or identify content gaps.
Yes. The server exists only as long as your agent session requires it. No state is maintained between connections.
The server only transmits text from articles, category lists, and metadata. Your private account credentials are never exposed through these tools.

Start using the Document360 MCP today

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Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Document360. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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