How to Use the Kava Explorer MCP in Google ADK

Feed live Kava blockchain telemetry directly into Google ADK to power Gemini models with deep context.

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Connect Kava Explorer MCP to Google ADK

Create your Vinkius account to connect Kava 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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Setup Kava Explorer with Google ADK

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Query block history with Google ADK

`list_blocks` and `get_block` allow your Gemini agent to reconstruct chain history through this MCP server over massive context windows. You can feed hundreds of block payloads directly into the model to analyze gas trends. This approach removes the need for pre-processing databases. The agent reads the raw block details, identifies patterns, and outputs structured summaries directly to your console.

Analyze validator sets and staking distributions

`list_validators` and `get_validator` pull the complete active set of consensus nodes using our MCP integration. Your enterprise agent can cross-reference this list with external datasets in BigQuery to assess centralization risks. You get clean, unedited JSON payloads containing commission rates and voting power. The model processes this data to generate daily risk reports without manual intervention.

Monitor account balances and token transfers

`get_account_info` and `get_account_token` retrieve the active balances and metadata for any specified wallet address. Your agent uses these tools to track high-value movements or verify smart contract deployer accounts. Combining these endpoints with Vertex AI lets you build predictive models around wallet behavior. The agent checks the balances, maps the token distribution, and flags anomalous transfers.

Setup guide

Set up Kava 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

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
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

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

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 Kava 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="Kava Explorer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kava Explorer tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Kava Explorer MCP in Google ADK

Initialize the MCP toolset using the Vinkius HTTP transport URL. Pass the toolset object directly to your agent constructor to expose the blockchain endpoints.

Yes, Gemini handles massive context windows easily. You can pull extensive transaction logs using `list_extrinsics` and pass them directly to the model.

This MCP server routes requests through Subscan API infrastructure. It uses your configured credentials on Vinkius to fetch the public chain state securely.

Use the tool names filter array when initializing your toolset. This restricts your agent to specific operations, like only allowing block reads.

The MCP server only touches public on-chain information like block hashes and wallet addresses. Your Vinkius connection runs in a zero-trust sandbox, preventing any exposure of your cloud environment.

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