Extracta MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Extracta as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="extracta_agent",
instruction=(
"You help users interact with Extracta "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Extracta MCP Server
Connect your Extracta.ai account to any AI agent and take full control of your automated data extraction and document classification through natural conversation.
Google ADK natively supports Extracta as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Extraction Orchestration — Create and configure new data extraction processes by defining JSON schemas for fields like dates, amounts, and item descriptions natively
- Live Document Processing — Submit publicly accessible file URLs (PDF, JPG, PNG) to trigger asynchronous extraction workflows and retrieve structured JSON data seamlessly
- AI Classification — Set up document classification rules to automatically sort documents into types like invoices, receipts, or contracts based on AI predictions
- Result Auditing — Retrieve extraction status and finalized structured data for specific documents, evaluating confidence scores and predicted categories flawlessly
- Batch History Monitoring — Fetch paginated lists of previously extracted documents and their associated data payloads to track historical processing limitlessly
- Configuration Mutation — Update existing extraction settings and mapping rules without creating new endpoints to refine your data parsing logic
- Workflow Management — View and manage extraction and classification configurations, including configured fields and webhook settings securely
The Extracta MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Extracta to Google ADK via MCP
Follow these steps to integrate the Extracta MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Extracta via MCP
Why Use Google ADK with the Extracta MCP Server
Google ADK provides unique advantages when paired with Extracta through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Extracta
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Extracta tools with BigQuery, Vertex AI, and Cloud Functions
Extracta + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Extracta MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Extracta and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Extracta tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Extracta regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Extracta
Extracta MCP Tools for Google ADK (10)
These 10 tools become available when you connect Extracta to Google ADK via MCP:
create_classification
g. invoice, receipt, contract). Pass JSON schema defining categories. Create a new Extracta document classification setup
create_extraction
g. language, format, expected fields like invoice_date, total_amount). Returns a new extractionId used for subsequent document processing. Create a new Extracta.ai data extraction process
delete_extraction
Subsequent uploads to this extractionId will fail. Delete an Extracta.ai extraction process
get_batch_results
Get bulk historical results from an Extraction process
get_classification_results
Get the predicted document category from Extracta
get_results
If not completed, it will indicate processing status. Get extraction results for a specific document
update_extraction
Modifies mapping rules without needing to create a new endpoint. Update an existing Extracta extraction configuration
upload_file_url
Returns a documentId. Use ea.get_results to poll for extracted data. Upload a document URL to Extracta for processing
view_classification
View details of an existing document classification process
view_extraction
View configuration of an existing Extracta extraction process
Example Prompts for Extracta in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Extracta immediately.
"Create an extraction process for invoices with fields: date, vendor, total"
"Extract data from this receipt URL: https://example.com/receipt.pdf"
"What type of document is doc_789 according to my classification rules?"
Troubleshooting Extracta MCP Server with Google ADK
Common issues when connecting Extracta to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkExtracta + Google ADK FAQ
Common questions about integrating Extracta MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Extracta to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.