4,500+ servers built on MCP Fusion
Vinkius
BookStack (Wiki) logo
Vinkius
Google ADK logo

How to Use the BookStack (Wiki) MCP in Google ADK

Feed your enterprise BookStack (Wiki) content directly into Google ADK for long-context reasoning and analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

BookStack (Wiki) MCP on Cursor AI Code Editor MCP Client BookStack (Wiki) MCP on Claude Desktop App MCP Integration BookStack (Wiki) MCP on OpenAI Agents SDK MCP Compatible BookStack (Wiki) MCP on Visual Studio Code MCP Extension Client BookStack (Wiki) MCP on GitHub Copilot AI Agent MCP Integration BookStack (Wiki) MCP on Google Gemini AI MCP Integration BookStack (Wiki) MCP on Lovable AI Development MCP Client BookStack (Wiki) MCP on Mistral AI Agents MCP Compatible BookStack (Wiki) MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Google ADK

Connect BookStack (Wiki) MCP to Google ADK

Create your Vinkius account to connect BookStack (Wiki) 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.

GDPR Free for Subscribers

Analyze entire books with Google ADK

The `export_book` tool pulls complete book contents directly into Google ADK to feed Gemini's million-token context window. This lets your agent run deep analysis across your entire technical wiki without hitting token limits. You can combine this with BigQuery data. The agent reads historical system metrics from your cloud databases, then uses `update_page` to write updated status reports directly back to BookStack.

Structured hierarchy management

The `list_shelves`, `list_books`, and `list_chapters` tools let your agent map out your entire wiki structure. It uses this map to decide exactly where to place new documents using `create_page`. This MCP Server allows your Google Cloud agents to organize documentation automatically. They can move pages, update chapters, or archive old shelves using `delete_shelf` based on real-time infrastructure alerts.

Audit trail tracking and compliance

The `list_audit_log` tool retrieves system activity logs directly from your BookStack instance. Your agent can scan these logs to detect unauthorized modifications or track which users are updating documentation. If the agent finds discrepancies, it uses `get_page` to review the changes and logs the findings in Vertex AI. This keeps your corporate wiki compliant with internal engineering standards.

Setup guide

Set up BookStack (Wiki) 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 BookStack (Wiki) 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="BookStack (Wiki)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BookStack (Wiki) 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 BookStack. 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 BookStack (Wiki) MCP in Google ADK

You initialize `McpToolset` with your Vinkius HTTP endpoint and pass it to your `LlmAgent`. The MCP Server tools are automatically discovered.
Yes. You can use the optional tool names filter in the MCP integration to expose only specific tools like `search` or `get_page`.
It can. The agent uses `export_book` or `export_chapter` to extract large blocks of text for processing in Gemini.
The `list_recycle_bin` tool lets your agent see what was deleted. It can restore items or permanently clean up the bin using `delete_page`.
Every MCP request containing your wiki pages, chapters, and attachments runs over encrypted HTTPS connections directly to your BookStack API. Vinkius executes these calls in ephemeral, zero-trust sandboxes that destroy all session data immediately after execution.

Start using the BookStack (Wiki) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 32 tools

We've already built the connector for BookStack (Wiki). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 32 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.