How to Use the Faker Data Generator MCP in Google ADK

Q: Does Google ADK support filtering tools from Faker Data Generator?

Yes. You can use the toolnames filter when initializing your McpToolset. This lets you restrict access to specific categories if your agent only needs certain data types.

Generate synthetic test sets for Google ADK. Build enterprise agents that handle diverse data inputs without touching production records.

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Connect Faker Data Generator MCP to Google ADK

Create your Vinkius account to connect Faker Data Generator 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 Faker Data Generator with Google ADK

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Fast data integration for Google ADK

The `generate_fake_data` tool integrates with your McpToolset to feed your Gemini-powered agents. It generates structured JSON that your agents can parse and act on immediately. Stop relying on manual data entry. Your agent can now request specific fields like email, company, or credit card info on the fly.

Regional data support for Google ADK

Supply a locale code to the `generate_fake_data` tool to switch output formats instantly. This ensures your Google ADK agents test against correct regional patterns. Whether you need Brazilian Portuguese or dozens of other locales, the output adapts to your requirements. It keeps your agent logic consistent across your global infrastructure.

Mass data generation for agent training

Call the `generate_fake_data` tool with a count argument to create up to 50 records per request. This allows your Google ADK agent to process large datasets without manual overhead. It keeps your agent's logic sharp by providing volume. Just define the category and let the server handle the structure.

Setup guide

Set up Faker Data Generator 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 Faker Data Generator 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="Faker Data Generator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Faker Data Generator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Faker Data Generator MCP in Google ADK

Pass an instance of McpToolset to your LlmAgent. The server connects via HTTP or Stdio, allowing your agent to call the generator whenever it needs test records.

It provides a reliable way to stress-test your agent with varied inputs. By generating thousands of synthetic records, you can see how your Google ADK setup reacts to different edge cases.

You pass the locale string directly to the tool parameters. The server returns the requested data types, like addresses or phone numbers, formatted for the specified locale.

No. The data is created algorithmically and contains no real-world information. It allows your enterprise agents to perform testing without exposing any PII.

Yes. You can use the tool_names filter when initializing your McpToolset. This lets you restrict access to specific categories if your agent only needs certain data types.

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