How to Use the Airparser MCP in Google ADK

Q: Does Google ADK support Airparser tool filtering?

You can use a toolnames filter to restrict which functions your agent sees. This keeps your agent focused on specific document tasks rather than the entire toolset.

Move Airparser data into your Google ADK agent and BigQuery workflows.

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Connect Airparser MCP to Google ADK

Create your Vinkius account to connect Airparser 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 Airparser with Google ADK

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Extract data into Google ADK agents

Connect the server to your agent using the McpToolset class. Call `get_document_details` to pull specific JSON records into your Gemini-powered reasoning context. It bridges the gap between raw file uploads and your structured data analysis. You get cleaner inputs for your large-context models without manual formatting.

List and audit inboxes for Google ADK

Run `list_inboxes` to see what your agent has access to across your workspace. You can filter these results based on your specific project needs. Your agent knows exactly which data sources are active. This prevents your model from hallucinating file paths that don't exist in your account.

Execute batch parsing with Google ADK

Use `list_documents` to find pending files and then fire off `parse_document_sync` to start the extraction. The agent iterates through your file list and builds a queue. It automates the tedious part of gathering data before the analysis begins. You spend more time on the logic and less on the plumbing.

Setup guide

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

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Common questions about Airparser MCP in Google ADK

You configure the McpToolset with the server URL and pass it to your LlmAgent. The framework handles the connection so your agent can call tools as functions.

You can use a tool_names filter to restrict which functions your agent sees. This keeps your agent focused on specific document tasks rather than the entire toolset.

Absolutely, once the agent retrieves the JSON from the server, you can pass that data directly into a BigQuery write operation. The agent handles the transformation between formats.

The framework treats tool calls as asynchronous operations. Your agent waits for the response, allowing you to handle timeouts or long-running tasks within your own code.

The server operates under strict transport isolation. Only authorized requests from your agent can query inbox metadata, keeping your document structure private from other services.

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