How do I find my AlgoDocs API Key?

Log in to AlgoDocs, go to your **Account Settings**, and you will find your API key there. You will need this along with your registered email for authentication.

What is an 'Extractor' in AlgoDocs?

An Extractor is a set of rules and AI models configured to pull specific fields from a certain type of document (e.g., an Invoice Extractor). You must specify an `extractor_id` when uploading documents.

Can I retrieve data from a previously processed document?

Yes! Use the `get_document_data` tool and provide the unique `document_id`. Your agent will retrieve the extracted structured data from AlgoDocs storage.

AlgoDocs MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: AlgoDocs
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AlgoDocs as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="algodocs_agent",
    instruction=(
        "You help users interact with AlgoDocs "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 AlgoDocs MCP Server

Connect your AlgoDocs account to your AI agent to unlock professional automated document extraction. From automatically parsing invoices, receipts, and complex tables to auditing extraction models (extractors) and managing folder hierarchies, your agent handles your data ingestion pipeline through natural conversation.

Google ADK natively supports AlgoDocs 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

Document Ingestion — Upload and parse documents from public URLs or Base64 strings for high-accuracy JSON extraction
Extractor Oversight — List and retrieve details for your AI extractors to ensure the correct rulesets are applied to your docs
Data Auditing — Retrieve structured JSON results for individual documents or list extracted data in bulk for entire extractors
Folder Management — List and audit your folder hierarchy to organize your document processing projects
Usage Monitoring — Quickly retrieve account details and API usage statistics directly from your chat interface

The AlgoDocs 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 AlgoDocs to Google ADK via MCP

Follow these steps to integrate the AlgoDocs 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 AlgoDocs via MCP

Why Use Google ADK with the AlgoDocs MCP Server

Google ADK provides unique advantages when paired with AlgoDocs 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 AlgoDocs

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 AlgoDocs tools with BigQuery, Vertex AI, and Cloud Functions

AlgoDocs + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AlgoDocs MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AlgoDocs and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AlgoDocs tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AlgoDocs regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AlgoDocs

AlgoDocs MCP Tools for Google ADK (10)

These 10 tools become available when you connect AlgoDocs to Google ADK via MCP:

get_api_usage

Get usage stats

get_document_data

Get parsed data

get_document_status

Check processing status

get_folder_details

Get folder metadata

get_my_account

Check account status

list_extractor_data

Bulk extraction results

list_extractors

List AI extractors

list_folders

List storage folders

list_recent_documents

List latest parsed docs

upload_document_from_url

Parse document from URL

Example Prompts for AlgoDocs in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AlgoDocs immediately.

"List all extractors in my AlgoDocs account."

"Parse this invoice URL: https://example.com/inv.pdf using extractor ID 'ext_123'."

"Show the extracted data for document ID 'doc_98765'."

Troubleshooting AlgoDocs MCP Server with Google ADK

Common issues when connecting AlgoDocs to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AlgoDocs + Google ADK FAQ

Common questions about integrating AlgoDocs MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.