How to Use the AbstractAPI MCP in Google ADK

Q: Can Google ADK filter which AbstractAPI tools my agent sees?

You control exact access using the toolnames array. If you only want Gemini to check VAT numbers, you pass just that tool name and the agent ignores the rest of the endpoints.

Q: How does the AbstractAPI MCP Server handle visual tasks?

The websitescreenshot tool generates a headless browser render of any target URL. It returns a permanent image link that your Gemini vision model can analyze alongside text data.

Q: What happens when I need to generate placeholders?

The generateavatar tool creates an initials-based image URL from a given name. Your agent can call this when creating new user profiles in your application database.

Give your Google ADK agents access to AbstractAPI to enrich BigQuery records and validate user inputs at scale.

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Connect AbstractAPI MCP to Google ADK

Create your Vinkius account to connect AbstractAPI 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 AbstractAPI with Google ADK

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Enrich company profiles in Google Cloud

Domain names passed to the `enrich_company` tool return the industry, employee count, and LinkedIn URL directly to your Gemini model. Gemini models append this structured data directly to your BigQuery records. International transactions require the `exchange_rate` tool for real-time conversions between base and target currencies. Vertex AI pipelines ingest these live rates to calculate accurate pricing models across regions.

Validate inputs via Google ADK MCP Server

SMTP verification happens inside the `validate_email` tool to confirm active inboxes. Deliverability scores help filter out bad leads before writing to your database. The `validate_phone` tool parses country codes to identify the exact carrier and line type. Passing a tool_names filter to the McpToolset configuration restricts which endpoints the agent sees, keeping your logic tightly scoped.

Analyze local contexts and networks

IP addresses translate into city and ISP data via the `geolocate_ip` tool. Massive context windows allow Gemini to ingest thousands of these location records at once to identify regional traffic patterns. The `get_timezone` tool outputs the current local time for any city. Avoiding automated actions on non-working days is easy when you check the `list_holidays` array for a given year.

Setup guide

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

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Common questions about AbstractAPI MCP in Google ADK

Install google-adk and initialize a StreamableHttpServerParameters object with your Vinkius URL. Wrap that in an McpToolset and pass it to your LlmAgent under the tools parameter.

You control exact access using the tool_names array. If you only want Gemini to check VAT numbers, you pass just that tool name and the agent ignores the rest of the endpoints.

The website_screenshot tool generates a headless browser render of any target URL. It returns a permanent image link that your Gemini vision model can analyze alongside text data.

The generate_avatar tool creates an initials-based image URL from a given name. Your agent can call this when creating new user profiles in your application database.

Vinkius manages the connection using ephemeral, isolated instances. When Gemini sends an IP address or VAT number for validation, the sandbox executes the request and tears down. The system retains zero state between your Google Cloud environment and the external MCP server.

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