How to Use the Alchemy MCP in Google ADK

Q: How do I install the Alchemy MCP Server for Google ADK?

Run pip install google-adk in your terminal. You then configure a McpToolset with StreamableHttpServerParameters and pass it to your LlmAgent initialization.

Q: Can Google ADK restrict which Alchemy tools the agent sees?

You can pass a toolnames list when setting up the toolset. This hides unnecessary functions and keeps the model focused on specific tasks.

Give your Google ADK agents read access to Ethereum state using the Alchemy integration.

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Connect Alchemy MCP to Google ADK

Create your Vinkius account to connect Alchemy 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 Alchemy with Google ADK

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Map wallet assets with Google ADK

The `get_wallet_balance` tool grabs native ETH balances in wei for any address you provide. Feeding this into a Gemini model lets you analyze thousands of wallets using its massive context window. You can expand this asset mapping by calling `get_token_balances`. Enterprise agents running on Google Cloud can cross-reference these ERC-20 holdings with historical price data stored in BigQuery.

Inspect NFT ownership and transactions

The `get_owned_nfts` function pulls a user's complete collection. The resulting metadata fits easily into Gemini's 1M+ token context, allowing your agent to categorize the assets without chunking the MCP response. Verifying on-chain activity relies on `get_transaction_receipt`. Passing a hash returns the exact execution details, which your agent can then log directly into Vertex AI for further analysis.

Filter MCP tools for node monitoring

The `get_latest_block_number` tool fetches the current chain tip. This ensures your agent knows exactly which block it is reading before executing a query. You might not want your agent calling every available function. Using the `tool_names` filter lets you restrict access to just `check_api_status` if you only need a simple uptime monitor.

Setup guide

Set up Alchemy 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 Alchemy 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="Alchemy_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Alchemy tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Alchemy MCP in Google ADK

Run `pip install google-adk` in your terminal. You then configure a `McpToolset` with `StreamableHttpServerParameters` and pass it to your `LlmAgent` initialization.

You can pass a `tool_names` list when setting up the toolset. This hides unnecessary functions and keeps the model focused on specific tasks.

The tools return raw JSON data that feeds directly into the prompt context. Gemini can ingest hundreds of transaction receipts at once without dropping details.

The framework handles both Stdio and HTTP connections. You define the transport type when configuring the server parameters.

No data flows backward from your GCP environment to the node provider. The server only receives public Ethereum addresses and transaction hashes required to execute the requested reads.

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