How to Use the Automate.io MCP in AutoGen

Q: Can AutoGen agents resolve failed Automate.io runs?

Yes, a developer agent can call listbotruns to find errors, while a manager agent reviews the getbot configuration to approve the fix.

Q: How do AutoGen agents prevent exceeding Automate.io API limits?

Your agents can query getusage during their planning phase. If the remaining quota is too low, the coordinator agent will cancel the scheduled workflow steps.

Let AutoGen agents debate and optimize your Automate.io workflows in real time.

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Connect Automate.io MCP to AutoGen

Create your Vinkius account to connect Automate.io to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Automate.io with AutoGen

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Debate Automate.io Workflows with AutoGen

The `list_bots` tool exposes your entire inventory of Automate.io bots to your AutoGen agent conversation. A QA agent and a developer agent can discuss the structure of your active bots to find redundant steps.

Validate Active Integration Connections via MCP

The `list_connections` tool retrieves your active credentials so a security agent in AutoGen can verify authentication status. This multi-agent verification prevents broken API calls from wasting your execution budget.

Coordinate Automate.io Run Audits

The `list_bot_runs` tool pulls historical execution data so a performance agent can audit your Automate.io success rates. These agents analyze the logs and debate with a budget agent about which bots cost too much.

Setup guide

Set up Automate.io MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Automate.io tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Automate.io_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Automate.io data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Automate.io_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Automate.io data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Automate.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Automate.io MCP in AutoGen

Install the AutoGen extension for MCP and pass the server URL to StreamableHttpServerParams. Use the McpToolAdapter to automatically convert the tools for your AssistantAgent.

Yes, a developer agent can call list_bot_runs to find errors, while a manager agent reviews the get_bot configuration to approve the fix.

Your agents can query get_usage during their planning phase. If the remaining quota is too low, the coordinator agent will cancel the scheduled workflow steps.

Yes, the underlying connector works with both transport layers. You can run it locally via stdio or host it as a streamable HTTP service.

Nobody but your local runtime. The managed MCP gateway uses isolated, single-tenant V8 execution environments that process your bot data in memory and destroy the session immediately after.

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