UnifyApps MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add UnifyApps 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="unifyapps_agent",
instruction=(
"You help users interact with UnifyApps "
"using 6 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 UnifyApps MCP Server
Connect your UnifyApps hub to any AI agent and take fully autonomous control over mapping internal automation flows, scanning linked platform connections, and managing global workflow status directly inside chat.
Google ADK natively supports UnifyApps as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Integration Surveillance — Query your entire UnifyApps instance grabbing all unique application components internally coupled safely by
list_integrations - Execution Telemetry — Monitor active running instances calling down recent success/failure run history across multiple automation triggers sequentially
- Flow Mapping (SaaS) — Extract an overarching view verifying how dozens of separate flows are mapped without navigating nested visual menus
- Agent Configuration — Scan and list configured AI agent systems currently plugged into your orchestration environment continuously
The UnifyApps MCP Server exposes 6 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 UnifyApps to Google ADK via MCP
Follow these steps to integrate the UnifyApps 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 6 tools from UnifyApps via MCP
Why Use Google ADK with the UnifyApps MCP Server
Google ADK provides unique advantages when paired with UnifyApps 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 UnifyApps
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 UnifyApps tools with BigQuery, Vertex AI, and Cloud Functions
UnifyApps + Google ADK Use Cases
Practical scenarios where Google ADK combined with the UnifyApps MCP Server delivers measurable value.
Enterprise data agents: ADK agents query UnifyApps and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine UnifyApps tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query UnifyApps regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including UnifyApps
UnifyApps MCP Tools for Google ADK (6)
These 6 tools become available when you connect UnifyApps to Google ADK via MCP:
get_integration_details
Retrieves details for a specific integration
list_active_connections
Lists active account connections
list_ai_agents
Lists configured AI agents in the UnifyApps environment
list_automation_flows
Lists all automation flows defined in the platform
list_flow_executions
Lists recent execution history for automation flows
list_integrations
Lists all configured integrations in UnifyApps
Example Prompts for UnifyApps in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with UnifyApps immediately.
"List all active integration configurations built within our system environment."
"Isolate execution logs for our overarching flows specifically looking out for the most recent actions resolving internally."
"Can you check the details of integration connection ID int_99xx1 to see if its credentials are fully configured?"
Troubleshooting UnifyApps MCP Server with Google ADK
Common issues when connecting UnifyApps to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkUnifyApps + Google ADK FAQ
Common questions about integrating UnifyApps 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?
Connect UnifyApps with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect UnifyApps to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
