How to Use the Docparser MCP in Google ADK

Q: Can Google ADK filter which Docparser tools are available?

Yes, you can use a toolnames filter when setting up your McpToolset. This restricts the agent to only the specific tools you want to expose for a given task.

Link your document processing directly to Google ADK to push extracted data into BigQuery or Vertex AI without writing custom middleware.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Docparser MCP to Google ADK

Create your Vinkius account to connect Docparser 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.

GDPR Free for Subscribers

Setup Docparser with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Native Docparser Integration for Google ADK

Use `list_document_parsers` to map your existing document templates directly into your Google Cloud agent environment. This allows your LLM to reason over which parser it should use for specific incoming document types. After selecting a parser, `get_parser_details` provides the exact configuration parameters needed to ensure high-accuracy extraction for your enterprise workflows.

Pipeline Efficiency with Google ADK

Keep your ingestion queue clear by using `list_documents_awaiting_parsing` to monitor incoming traffic. Your agent can prioritize high-value files by checking this list against your current processing load. When files are ready, `list_parsed_documents` gives the agent immediate access to the result set. It avoids the need for manual status checking or browser-based monitoring.

Deep Extraction Analytics

Your agent can perform complex audits using `list_recent_extractions` to find trends across your entire account. This is useful for identifying bottlenecks before they reach your primary data stores. Use `get_document_extraction_results` to pull the raw data payload directly into your agent's context window. It makes integration with BigQuery or Vertex AI a straightforward data-mapping task.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Docparser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Docparser now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Docparser MCP in Google ADK

You initialize an McpToolset with your server URL and include it in your LlmAgent tool list. This gives your agent immediate access to the Docparser API without extra boilerplate code.

Yes, you can use a tool_names filter when setting up your McpToolset. This restricts the agent to only the specific tools you want to expose for a given task.

They will. Because the agent invokes these tools directly, all calls and results are traceable within your Google Cloud monitoring environment, providing a clear path for debugging.

Vinkius provides a V8 Isolate sandbox for every session. Your connection lasts only as long as your agent session, ensuring no persistent state resides on the server.

Your document content is handled only as transient text strings during the extraction process. The server does not store your files or extracted data, adhering to strict privacy standards for your enterprise document types.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript