How to Use the Friendbuy MCP in AutoGen

Debate your referral strategy with AutoGen agents. Let your team of experts manage Friendbuy integrations through consensus.

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Connect Friendbuy MCP to AutoGen

Create your Vinkius account to connect Friendbuy 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 Friendbuy with AutoGen

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Consensus-driven referral management in AutoGen

Assign one agent to `track_conversion_purchase` and another to verify reward eligibility. They discuss the data before finalizing any payouts, preventing errors. This multi-agent setup forces a validation step. If the purchase doesn't meet your criteria, the agents catch it before it hits the production API.

Automated webhook monitoring for AutoGen

Use `list_webhooks` to let your security agent inspect configurations. It reports back to the group if any settings look suspicious or outdated. It adds a layer of human-like oversight. The agents challenge each other on configuration changes, ensuring your webhook setup remains secure and functional.

Negotiate referral codes across agents

Deploy `create_referral_code` as a tool the agents can invoke after reaching a decision. They agree on the campaign parameters first, then generate the code. It eliminates rogue code creation. Every generated link is the result of a deliberate, cross-agent agreement, keeping your marketing campaign strictly aligned.

Setup guide

Set up Friendbuy 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 Friendbuy 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="Friendbuy_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Friendbuy 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 Friendbuy. 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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Common questions about Friendbuy MCP in AutoGen

The McpToolAdapter maps the server tools into the AutoGen agent's workspace. Agents then debate and decide when to call these tools based on their assigned goals.

Yes, by creating a validation agent that checks referral statuses before authorizing a signup conversion. This adds a critical layer of verification to your referral pipeline.

The server operates within a strict sandbox and requires an endpoint token for every request. No data is shared outside your specific, authenticated agent group.

They will continue to debate until they reach a consensus or hit a limit you define. You can view the full conversation history to see exactly why an action was taken.

It does. You can use stdio for local development or Streamable HTTP for production agent clusters, depending on your deployment architecture.

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