How to Use the DictionaryAPI.dev MCP in Google ADK

Q: Can I filter DictionaryAPI.dev tools in Google ADK?

Use the toolnames parameter when defining your toolset. This limits the agent to only using getworddefinition without exposing other potential tools.

Add DictionaryAPI.dev to your Google ADK workflow for enterprise-grade linguistic data.

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Connect DictionaryAPI.dev MCP to Google ADK

Create your Vinkius account to connect DictionaryAPI.dev 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 DictionaryAPI.dev with Google ADK

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Native Google ADK integration

The McpToolset class bridges your Google ADK agent to the `get_word_definition` tool. You get immediate access to dictionary data alongside your existing BigQuery tools. Initialize the toolset with your server parameters. Your agent now treats dictionary lookups as standard operations within your Google Cloud architecture.

Control tool exposure

Use the tool_names filter to restrict which functions your Google ADK agent can trigger. This keeps your agent logic clean when using `get_word_definition`. Specify only the necessary tools during setup. This prevents your agent from attempting unauthorized actions while it queries the dictionary.

Long-context dictionary lookups

Feed high-quality definitions from DictionaryAPI.dev into your Gemini models. The Google ADK agent uses this data to inform complex reasoning tasks over massive datasets. Your agent maintains state across 1M+ tokens while pulling precise definitions. This setup works perfectly for large-scale document analysis.

Setup guide

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

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Common questions about DictionaryAPI.dev MCP in Google ADK

Import McpToolset and pass your server URL to the constructor. Attach the toolset to your LlmAgent to start querying word definitions.

It does. You can choose between HTTP or Stdio transports based on where your server is hosted. Both methods are supported natively.

Use the tool_names parameter when defining your toolset. This limits the agent to only using `get_word_definition` without exposing other potential tools.

The server transmits public dictionary definitions only. No proprietary enterprise data is shared or stored by the DictionaryAPI.dev service.

The integration is rock-solid. By using the standard McpToolset, you avoid custom wrappers and keep your agent code maintainable.

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