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How to Use the Wemix Explorer MCP in Google ADK

Run deep chain analytics using your Google ADK agent workflow.

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Google ADK

Connect Wemix Explorer MCP to Google ADK

Create your Vinkius account to connect Wemix Explorer 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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Get Account Data with the MCP Server

The `get_account_info` tool lets you pull basic data for a specific account address. This is essential when you need to quickly check who owns what on Wemix. It keeps your agent focused. You get straightforward, actionable details about an account without wading through unrelated chain noise.

Tracking Transactions via Google ADK

To see all the money moving around, use `list_account_transfers`. This function gathers a complete list of token transfers tied to one address. You'll know exactly where the funds went. If you want more context than just the transfer list, check out `list_extrinsics` to get a full view of recent transactions.

Analyzing Network Events with Google ADK

You can use `list_events` to pull a summary list of all recorded events across the chain. This is your starting point for understanding network activity. Once you see an event ID that looks interesting, call `get_event` to retrieve the full details. It’s how you get from a hint to solid proof.

Setup guide

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

Simply use `list_blocks` to retrieve the latest batch of confirmed blocks. This gives you a quick overview of the chain's progression over time.
Yes, `get_token` pulls all necessary information for a specific token ID. It’s useful when you need to verify the contract or metadata of a particular asset.
Run `list_tokens` when you need a full, comprehensive inventory of every token existing on the network. This is how you build a master list for your BigQuery integration.
The `list_account_tokens` tool handles this. It shows exactly which tokens an account owns, making asset tracking simple for your agent.
This MCP Server deals with public chain ledger data—specifically block information, events, and extrinsic records. It's all transparent network activity.

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