How to Use the Buenbit MCP in AutoGen

Let your AutoGen agents debate and execute Buenbit trades based on consensus.

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Connect Buenbit MCP to AutoGen

Create your Vinkius account to connect Buenbit 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 Buenbit with AutoGen

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Debate Buenbit orders with AutoGen agents

Set up a risk agent to check `list_limits` while a trading agent proposes a `create_order`. They debate the logic before anything happens. This stops bad trades. One agent proposes, the other challenges, and they only act when the logic holds up.

Use Buenbit tools in multi-agent workflows

Pass the tool list to your AssistantAgent. AutoGen handles the schema, so your agents can call `get_network_fees` or `get_ticker` automatically. It works in the background. Your agents talk to each other to decide which tool fits the current market situation best.

Automated Buenbit decision making

Build systems where agents reach consensus on market moves. They compare `get_yield_rates` against your goals and agree on the move. This removes the need for you to manually trigger every action. The agents reach a conclusion, and the server executes the command.

Setup guide

Set up Buenbit 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 Buenbit 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="Buenbit_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Buenbit_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Buenbit 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 Buenbit. 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.

Why Choose Vinkius

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Common questions about Buenbit MCP in AutoGen

The McpToolAdapter maps the server tools to the agent schema. Agents then call the functions as part of their conversation.

That is the point. You can set up a critic agent to veto any trade that exceeds your defined risk parameters.

Yes. You can share the tool set across multiple agents in a group chat to coordinate complex exchange operations.

Provide your endpoint token to the server params. The connection stays persistent for the duration of your agent session.

Your account details and trade history remain isolated within the ephemeral sandbox. Only your authorized agents have access to the tool outputs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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