How to Use the Nimbleway MCP in Google ADK

Q: How do I connect Nimbleway to Google ADK?

Install the google-adk package. Use the McpToolset class to point to your Nimbleway endpoint and pass it to your LlmAgent. You set up the MCP toolset in just a few lines of code.

Q: How do I restrict which Nimbleway tools the Google ADK uses?

Pass a specific list to the toolnames filter when setting up the MCP toolset. This prevents the agent from calling tools you want to keep hidden.

Connect Gemini to live web data using the Google ADK and execute massive scraping jobs.

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Connect Nimbleway MCP to Google ADK

Create your Vinkius account to connect Nimbleway 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 Nimbleway with Google ADK

Ask AI about this MCP

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Claude

Perplexity

Feed Gemini Raw Web Data

The `extract_html` and `extract_markdown` tools pull massive web pages into your agent. You give the agent a URL, and it returns the exact content needed for analysis. Gemini models hold over a million tokens in context. You dump entire website structures into the prompt, and the agent reasons across all of it. This MCP integration feeds that context window directly.

Google ADK MCP Server Search

Your agent uses `search_web` to find information dynamically. It then calls `list_pipelines` and `get_pipeline` to match those findings against your pre-configured scraping routines. Enterprise teams already keep their data in BigQuery. Your Gemini agent searches the live web, extracts the facts, and formats the output to write straight into your Google Cloud databases.

Track Scraping Jobs

The `list_jobs` and `get_job` tools track execution state for long-running extractions. You monitor your infrastructure by calling `list_proxies` and `get_account_usage`. Cloud scale requires strict monitoring. The agent reads the proxy health and decides whether to continue scraping or halt the process.

Setup guide

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

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Common questions about Nimbleway MCP in Google ADK

Install the `google-adk` package. Use the `McpToolset` class to point to your Nimbleway endpoint and pass it to your `LlmAgent`. You set up the MCP toolset in just a few lines of code.

Yes. The framework supports HTTP transports for standard requests. Your agent fires off the `search_web` command and processes the results as they arrive.

Pass a specific list to the `tool_names` filter when setting up the MCP toolset. This prevents the agent from calling tools you want to keep hidden.

No. The MCP standard handles the schema exchange automatically. Gemini sees the exact parameters required for every function.

Vinkius routes your scraped text, search queries, and account usage metrics through a zero-trust architecture. Authentication requires a single endpoint token, and the memory drops the data the second the operation completes.

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