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How to Use the Ankr (Web3 Node API) MCP in Google ADK

Connect Gemini agents to the Google ADK to query multi-chain blocks and feed raw Web3 data straight into BigQuery.

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Connect Ankr (Web3 Node API) MCP to Google ADK

Create your Vinkius account to connect Ankr (Web3 Node 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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Load multi-chain block data into BigQuery

The `ankr_getBlocks` tool fetches raw block data across multiple EVM chains to feed your enterprise pipeline. Your Gemini agent parses this high-volume data and loads it directly into BigQuery tables. Combine this with `getEpochInfo` to track network performance over long periods. Gemini's million-token context window easily digests weeks of block history in a single prompt.

Analyze NFT holder demographics with Google ADK

The `ankr_getNFTHolders` tool lists every wallet holding a specific collection. Your agent uses this tool to extract distribution metrics and store them in Vertex AI. By running `ankr_getNFTMetadata`, the agent enriches this dataset with token traits. This allows you to build predictive models of holder behavior using Google's machine learning stack.

Query raw storage and logs with this MCP Server

The `eth_getStorageAt` tool inspects the raw storage slot of any smart contract on the network. This gives your agent direct visibility into contract state variables without relying on high-level ABIs. Use `eth_getLogs` to filter historical events for security audits. The Google ADK structures these logs, making it simple to run anomaly detection models on smart contract interactions.

Setup guide

Set up Ankr (Web3 Node 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. 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 Ankr (Web3 Node 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="Ankr (Web3 Node API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ankr (Web3 Node API) 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 Ankr. 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 Ankr (Web3 Node API) MCP in Google ADK

Use the toolset class with the Vinkius MCP server HTTP transport URL. Pass this toolset to your agent to let Gemini call the Web3 tools during its reasoning loop.
Absolutely, Gemini's long-context window easily processes large arrays returned by tools like `ankr_getBlocks` or `ankr_getNFTHolders` without running out of memory.
Pass a filtered list of tool names to the toolset configuration. This prevents the agent from accessing transaction-signing tools like `eth_sendRawTransaction` entirely.
Yes, it includes Solana-specific tools like `getAccountInfo` and `getProgramAccounts`. Your Gemini agent queries both ecosystems simultaneously.
The MCP server handles wallet addresses, contract code, and transaction payloads. Vinkius runs the server in an isolated sandbox, ensuring your query data is processed ephemerally and never exposed to public LLM training sets.

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