How to Use the bluebarry.ai MCP in AutoGen

Enable debate-driven workflows in AutoGen by connecting bluebarry.ai tools to your multi-agent conversation threads.

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Connect bluebarry.ai MCP to AutoGen

Create your Vinkius account to connect bluebarry.ai 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 bluebarry.ai with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate bluebarry.ai actions

Let your AutoGen agents argue over the results of `analyze_youtube`. One agent can interpret the transcript while another challenges the findings, ensuring high-quality insights. They reach consensus before acting. Your agents negotiate the best path forward based on the data retrieved from the server.

Use bluebarry.ai in AutoGen

Pass the tool list into your AssistantAgent constructor. AutoGen handles the schema translation automatically, allowing your agents to invoke tools during their conversation. The agents decide when to call the server. You don't write the orchestration logic; the agents figure out the timing.

Automate AutoGen decision making

Use `get_automation_status` to inform your agent's decision-making process. If an automation is failing, the agents can discuss remediation steps and trigger fixes accordingly. This creates a closed-loop system. Your agents monitor, debate, and resolve issues without you needing to step in.

Setup guide

Set up bluebarry.ai 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 bluebarry.ai 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="bluebarry.ai_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent bluebarry.ai 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="bluebarry.ai_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent bluebarry.ai 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 bluebarry.ai. 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 bluebarry.ai MCP in AutoGen

Install the autogen-ext package and pass the server parameters to the tool adapter. Your agents will automatically gain the ability to call the tools in their next turn.

Yes, you can share the tool list across all agents in your conversation. They will access the server based on the specific role you assign to each.

It supports both stdio and Streamable HTTP. Choose the transport that matches your deployment environment, and the McpToolAdapter will handle the rest.

Every tool call is logged as part of the agent conversation history. You can review the exact inputs and outputs within your debug logs.

Your agent conversation is sandboxed. All data regarding your agents and automations remains within the isolated Vinkius runtime, away from external exposure.

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