How to Use the Dextools (DeFi Token Data API) MCP in Google ADK

Q: Can I filter which tools Dextools (DeFi Token Data API) exposes to my Google ADK agent?

Yes, you can use the toolnames filter when configuring your McpToolset. This lets you restrict access to only the specific tools your agent requires.

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Connect Dextools (DeFi Token Data API) MCP to Google ADK

Create your Vinkius account to connect Dextools (DeFi Token Data 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 Dextools (DeFi Token Data API) with Google ADK

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Direct DeFi insights for your Google ADK agent

Bring live token prices and pair liquidity into your Google Cloud agent workflows. With `get_token_price`, your agent gets the numbers it needs to trigger logic based on market shifts. This setup allows your agent to query data without leaving your Google ADK environment. It works natively with your existing GCP infrastructure to keep data movement efficient.

Efficient network and pair discovery

Your agent can now programmatically query `get_blockchains` to verify network support. It then uses `get_pair` to find exact liquidity data for any token across the supported chains. This reduces the complexity of handling cross-chain data manually. Your agent handles the discovery phase internally, allowing you to focus on the business logic.

Granular token analysis within Google ADK

Use `get_token` to retrieve detailed asset information for your agent's decision engine. This tool provides the context needed to distinguish between tokens during high-volume market events. By feeding this data into your agent, you ensure that every decision is backed by current market metrics. It provides a reliable data layer for your enterprise-grade agents.

Setup guide

Set up Dextools (DeFi Token Data 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 Dextools (DeFi Token Data 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="Dextools (DeFi Token Data API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dextools (DeFi Token Data API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Dextools (DeFi Token Data API) MCP in Google ADK

You integrate it by using the McpToolset class with your server parameters. Pass this toolset into your LlmAgent constructor to give your agent access to the tools.

Yes, you can use the tool_names filter when configuring your McpToolset. This lets you restrict access to only the specific tools your agent requires.

It does. The server supports HTTP transports, which you configure using StreamableHttpServerParameters. This matches the standard setup for Google ADK agents.

The server is built to handle frequent requests efficiently. By keeping the connection persistent, your agent avoids the overhead of repeated handshake cycles.

The server operates in a zero-trust sandbox. It only processes public market data like token metrics and liquidity info, keeping your internal cloud environment isolated.

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