How to Use the Moonriver (Moonriver Block Explorer API) MCP in Google ADK

Q: How do I add the Moonriver (Moonriver Block Explorer API) MCP Server to my Google ADK agent?

Install google-adk and initialize McpToolset with your Vinkius HTTP URL. Pass the toolset object into the tools list of your LlmAgent configuration.

Q: Can I limit which Moonriver (Moonriver Block Explorer API) tools are exposed to Google ADK?

Yes. Use the optional toolnames filter when initializing your McpToolset to restrict access. For example, you can expose only getblock and listblocks while hiding account balance tools.

Connect Gemini to Moonriver (Moonriver Block Explorer API) via Google ADK to analyze chain data with this MCP Server alongside your BigQuery datasets.

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Connect Moonriver (Moonriver Block Explorer API) MCP to Google ADK

Create your Vinkius account to connect Moonriver (Moonriver Block Explorer API) 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 Moonriver (Moonriver Block Explorer API) with Google ADK

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Analyze historical block data at scale

`list_blocks` and `list_extrinsics` fetch batch historical data directly into your agent's context. The agent feeds these payloads into Gemini's long-context window to find patterns across thousands of blocks. This setup lets you cross-reference on-chain transactions with off-chain enterprise databases. Your agent parses block headers using this MCP toolset without requiring a custom ETL pipeline.

Profile Moonriver accounts using Google ADK

`get_account_info` retrieves the current state and nonce of any address on the network. Your agent combines this with `list_transfers` to build a complete history of inbound and outbound transactions for that account. To map out token holdings, the agent invokes `list_evm_tokens` to identify active ERC-20 assets. This creates a clear picture of wallet activity that you can feed into Vertex AI models.

Verify raw extrinsics and runtime metadata

`get_extrinsic` pulls the exact execution parameters and status of any transaction on Moonriver. This tool lets your enterprise agent verify payment confirmations or smart contract interactions programmatically. The agent uses `get_metadata` to verify that the extrinsic matches the current runtime rules of the chain. This prevents your system from submitting malformed payloads during network upgrades.

Setup guide

Set up Moonriver (Moonriver Block Explorer API) 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 Moonriver (Moonriver Block Explorer API) 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="Moonriver (Moonriver Block Explorer API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moonriver (Moonriver Block Explorer API) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moonriver. 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 Moonriver (Moonriver Block Explorer API) MCP in Google ADK

Install `google-adk` and initialize `McpToolset` with your Vinkius HTTP URL. Pass the toolset object into the `tools` list of your `LlmAgent` configuration.

Yes. Use the optional `tool_names` filter when initializing your `McpToolset` to restrict access. For example, you can expose only `get_block` and `list_blocks` while hiding account balance tools.

Gemini's long-context window easily processes the large JSON payloads returned by `get_metadata` and `list_extrinsics`. You can feed multiple blocks of data directly to the model for complex analysis.

No. Vinkius hosts the server on its managed infrastructure, so your Python agent connects directly via HTTP. There's no need to manage local background processes or runtimes.

Yes. This server only handles public blockchain queries such as `get_account_info` and transaction lookups, meaning no sensitive credentials are ever processed. Vinkius secures all traffic using this MCP setup inside ephemeral sandboxes that discard query logs immediately.

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