How to Use the Wiki.js MCP in Google ADK
Build enterprise agents using Google ADK for Wiki documentation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wiki.js MCP to Google ADK
Create your Vinkius account to connect Wiki.js 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.
Search and retrieve specific Wiki content.
The `search_pages` tool lets your agent dig through all the articles in your Wiki.js knowledge base. Instead of reading everything, it finds relevant snippets based on keywords. This is ideal for building agents that answer complex questions by synthesizing information from multiple sources across Wiki.js.
Build and modify documentation pages.
Want to add a whole new section? Use `create_page` to generate a fresh article in your Wiki.js instance. You just pass the title and initial text, and it's live. You can also use `update_page` if you need to revise an existing document before publishing.
Keep track of all your documentation pages.
The `list_pages` tool provides a simple manifest, showing every page path available in Wiki.js. This is critical for auditing or building navigation menus. Need to verify the current state? Running `get_page` pulls down the full, raw content of any specific document.
Set up Wiki.js MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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 Wiki.js tools in your ADK agent.
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="Wiki.js_agent",
model="gemini-2.0-flash",
instruction="You have access to Wiki.js 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 Wiki.js. 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 Wiki.js MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Wiki.js MCP today
We host it, we monitor it, we maintain it. You just paste one token.