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How to Use the MediaWiki MCP in Google ADK

Integrate your Google ADK pipelines with MediaWiki to pull wiki data into your enterprise reasoning flows.

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Google ADK

Connect MediaWiki MCP to Google ADK

Create your Vinkius account to connect MediaWiki 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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Deep wiki analysis with Google ADK

Feed your Gemini reasoning engine with live wiki data using `get_page_revisions` and `get_page_info`. This allows your agent to understand the history and current status of any document. Connect these insights to your existing Google Cloud infrastructure. Since the agent has the full context from the wiki, it can make informed decisions about your data stored in BigQuery.

Enterprise-grade wiki interaction via MCP Server

Use `list_all_pages` to index your entire wiki and feed that index into your agent's long-context window. It's built to handle large-scale retrieval tasks without overloading the API. This MCP Server maintains a clean interface for your agent. You can filter tool access to specific operations, ensuring your agent only has the permissions it needs to perform its job.

Automated user and site management

Fetch current user permissions with `get_user_info` to verify identity before executing sensitive operations. This provides a layer of validation for your automated workflows. Check your site settings with `get_site_info` before you run bulk operations. It confirms that the environment is ready for the agent's next action.

Setup guide

Set up MediaWiki 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 MediaWiki 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="MediaWiki_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MediaWiki 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 MediaWiki. 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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Common questions about MediaWiki MCP in Google ADK

Initialize the `McpToolset` with the server URL and call `search_pages`. The results are passed back to your agent for immediate use.
Yes, `get_page_categories` and `list_category_members` are available. Use them to map out your wiki structure and organize content automatically.
The connection uses standard HTTP/SSE protocols. You control access to the endpoint, ensuring no unauthorized agents can interact with your wiki.
The tools are designed to fetch data in chunks. You can iterate through lists or perform targeted searches to keep memory usage manageable.
They are handled locally by your client code. The server only processes the tokens it needs to perform the requested write actions.

Start using the MediaWiki MCP today

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Built & Managed by Vinkius 30s setup 13 tools

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

No hosting. No infrastructure. No complex setup.
All 13 tools are live and waiting. You're up and running in seconds.

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