Docparser 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 Docparser 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="docparser_agent",
instruction=(
"You help users interact with Docparser "
"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 Docparser MCP Server
Integrate Docparser, the leading document data extraction platform, directly into your AI workflow. Automate the extraction of structured data from PDFs, scanned documents, and images, monitor your parser configurations, and retrieve parsed results using natural language.
Google ADK natively supports Docparser 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
- Parser Oversight — List and retrieve detailed settings and status for all your document parsers and extraction rules.
- Data Intelligence — Access the actual structured data extracted from your documents, including table data and custom fields.
- Document Tracking — Monitor the processing status of your uploaded documents and identify any extraction failures.
- Result Auditing — Retrieve a chronological feed of recent extraction results across all your active parsers.
The Docparser 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 Docparser to Google ADK via MCP
Follow these steps to integrate the Docparser 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 Docparser via MCP
Why Use Google ADK with the Docparser MCP Server
Google ADK provides unique advantages when paired with Docparser 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 Docparser
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 Docparser tools with BigQuery, Vertex AI, and Cloud Functions
Docparser + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Docparser MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Docparser and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Docparser tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Docparser regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Docparser
Docparser MCP Tools for Google ADK (10)
These 10 tools become available when you connect Docparser to Google ADK via MCP:
get_docparser_account_metadata
Retrieve metadata and usage limits for your Docparser account
get_document_extraction_results
Get the actual data extracted from a specific document
get_parser_details
Get detailed settings and status for a specific document parser
list_document_parsers
List all document parsers configured in your Docparser account
list_documents_awaiting_parsing
List documents that are currently in the parsing queue
list_failed_document_extractions
Identify documents that failed the parsing or extraction process (mock logic)
list_parsed_documents
List all documents processed by a specific parser
list_recent_extractions
List the most recent document extraction results across all parsers
quick_parser_health_audit
Retrieve a high-level summary of parser activity and success rates
search_parsed_documents
Search for parsed documents by filename within a parser
Example Prompts for Docparser in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Docparser immediately.
"List all documents processed by the 'Invoices' parser."
"Show me the extracted data for document 'DOC-9988' in the 'Orders' parser."
"Are there any document extractions that failed today?"
Troubleshooting Docparser MCP Server with Google ADK
Common issues when connecting Docparser to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDocparser + Google ADK FAQ
Common questions about integrating Docparser 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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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Docparser to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
