How to Use the Bonusly MCP in AutoGen

Debate rewards with AutoGen. Let your agents negotiate Bonusly recognition based on real team performance data.

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Connect Bonusly MCP to AutoGen

Create your Vinkius account to connect Bonusly 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 Bonusly with AutoGen

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Negotiate bonuses in AutoGen

Assign `give_bonus` to a specialized agent. Another agent reviews the `get_leaderboard` data to verify if the reward makes sense within the current team context. This setup prevents impulsive rewards. The agents debate the merit of the bonus before executing it, ensuring alignment with your company values.

Analyze recognition with AutoGen agents

Use a data agent to call `list_redemptions` and `list_bonuses`. A separate analyst agent then interprets these trends to report on team engagement levels. This separates data gathering from decision-making. Your agents work together to turn raw numbers into actionable insights about your company culture.

Validate values using AutoGen

Call `list_company_values` to inform the agents. They use this list to challenge each other on whether a proposed recognition message reflects your core values. This adds a layer of quality control. The conversation ensures that every bonus sent through the tool is consistent with your organization's mission.

Setup guide

Set up Bonusly 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 Bonusly 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="Bonusly_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bonusly MCP in AutoGen

You import the MCP adapter and pass the tool list to your assistant agent. The agents then handle the discovery and execution of tools during their conversation.

Yes, they can debate the best way to recognize an employee based on the data retrieved from the server. This leads to more thoughtful team rewards.

Yes. We process your employee recognition logs in an isolated sandbox. Only the agents in your specific conversation have access to the data you provide.

It provides a clear schema for your agents. They use the tool definitions to understand what actions are available and when to invoke them during the discussion.

You can limit which agents have access to specific tools. This allows you to delegate recognition authority to only the most appropriate agents.

Use it with your favorite AI tools

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

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