How to Use the Diffbot MCP in Google ADK

Q: Can I filter which tools Diffbot exposes to Google ADK?

Absolutely. Use the toolnames filter in your McpToolset setup to only grant your agent access to specific extraction tools.

Connect the Diffbot MCP Server to Google ADK to feed live web data into your Gemini-powered enterprise infrastructure.

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Connect Diffbot MCP to Google ADK

Create your Vinkius account to connect Diffbot 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 Diffbot with Google ADK

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Google ADK web data integration

Your agent needs fresh data to stay relevant. Use `extract_article_data` or `extract_forum_thread` to pull raw web content into your Gemini context window. It bypasses the need for local parsing logic. You get the content, and your agent handles the reasoning.

Scale knowledge graph lookups in Google ADK

Use `search_knowledge_graph` to query world entities. Your agent can pull company or industry data and pipe it directly into BigQuery or other cloud services. This creates a bridge between live web data and your existing data warehouse. It's built for heavy lifting.

Verify Diffbot status in Google ADK

Keep your pipeline healthy with `get_api_status`. Your agent can check this before starting a heavy extraction batch to avoid failures. It's a simple, proactive check that prevents downstream issues. If the service is down, your agent can pause and report the status.

Setup guide

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

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Common questions about Diffbot MCP in Google ADK

Use the McpToolset class with your Vinkius URL. Then, pass the toolset into your LlmAgent configuration to make the tools available.

Absolutely. Use the tool_names filter in your McpToolset setup to only grant your agent access to specific extraction tools.

It is. You can extract large amounts of text using the tools and feed that directly into Gemini's 1M+ token context window.

The server runs in a Vinkius V8 Isolate sandbox. Your credentials are encrypted, and no third party can intercept the traffic between your agent and the server.

The server only processes web-based extraction outputs and entity profiles. It does not access your internal user databases or private account records.

Use it with your favorite AI tools

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