Portable.io MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Portable.io as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="portableio_agent",
tools=tools,
system_message=(
"You help users with Portable.io. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Portable.io tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Portable.io MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from Portable.io automatically
Why Use AutoGen with the Portable.io MCP Server
AutoGen provides unique advantages when paired with Portable.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Portable.io tools to solve complex tasks
Role-based architecture lets you assign Portable.io tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Portable.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Portable.io tool responses in an isolated environment
Portable.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Portable.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Portable.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Portable.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Portable.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Portable.io responses in a sandboxed execution environment
Portable.io MCP Tools for AutoGen (6)
These 6 tools become available when you connect Portable.io to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Portable.io to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Portable.io + AutoGen FAQ
Common questions about integrating Portable.io MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.