Portable.io 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 Portable.io as an MCP tool provider through the 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="portableio_agent",
instruction=(
"You help users interact with Portable.io "
"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 Portable.io MCP Server
Connect your Portable.io account to your favorite AI agent and take orchestrate your data pipelines through natural language.
Google ADK natively supports Portable.io as an MCP tool provider — declare the 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
- Data Flows — List configured integration flows and view complex mapping details
- Sync Runs — Monitor execution history, track successful row counts, and spot failure logs
- Destinations & Connectors — Retrieve all supported SaaS extractors and targeted data warehouses (like Snowflake or BigQuery)
- Account Status — Check your workspace bounds and execution limits instantly
The Portable.io 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 Portable.io to Google ADK via MCP
Follow these steps to integrate the Portable.io 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 Portable.io via MCP
Why Use Google ADK with the Portable.io MCP Server
Google ADK provides unique advantages when paired with Portable.io 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 Portable.io
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 Portable.io tools with BigQuery, Vertex AI, and Cloud Functions
Portable.io + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Portable.io MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Portable.io and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Portable.io tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Portable.io regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Portable.io
Portable.io MCP Tools for Google ADK (6)
These 6 tools become available when you connect Portable.io to Google ADK via MCP:
get_account
Retrieve the exact workspace and account billing details
get_flow
Get complete configuration details of a specific data flow
list_connectors
List available pre-built API data source connectors
list_destinations
g., Snowflake, BigQuery) currently authorized to receive raw data writes from active flows. List all configured data warehouse destinations
list_flows
List all integration flows configured in Portable
list_runs
List historical execution runs for a specific data flow
Example Prompts for Portable.io in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Portable.io immediately.
"List all active ETL flows running in my Portable workspace."
"Show the recent runs for flow ID 4087 and tell me if any failed."
"What destinations are currently configured to receive data?"
Troubleshooting Portable.io MCP Server with Google ADK
Common issues when connecting Portable.io to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPortable.io + Google ADK FAQ
Common questions about integrating Portable.io 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 Portable.io 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 Portable.io to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.