How to Use the FirstPromoter MCP in AutoGen

Enable multi-agent debate for your AutoGen systems using FirstPromoter tools to negotiate affiliate payouts and campaign strategy.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FirstPromoter MCP to AutoGen

Create your Vinkius account to connect FirstPromoter 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.

GDPR Free for Subscribers

Setup FirstPromoter with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate rewards using AutoGen agents

Configure an agent to propose a payout using `create_reward` while another agent reviews the `get_payout_stats` for fraud. They discuss the transaction before finalizing it. This conflict-resolution model prevents mistakes. You get a consensus-based approach to managing your affiliate commissions.

Optimize campaigns with AutoGen teams

Let your research agent call `get_campaign_report` to identify underperforming offers. A strategist agent then suggests adjustments based on that data. It turns raw stats into actionable advice. Your agents do the legwork of comparing metrics across your entire FirstPromoter account.

Onboard affiliates via AutoGen conversation

Use `create_promoter` within an agent workflow to handle new partner requests. Agents can verify lead quality using `list_leads` before approving the new registration. This automates your partner acquisition funnel. The agents negotiate the terms and confirm the setup without you needing to step in.

Setup guide

Set up FirstPromoter 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 FirstPromoter 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="FirstPromoter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Connect FirstPromoter now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about FirstPromoter MCP in AutoGen

You provide the tool list to the AssistantAgent. The agents then decide which tool to call based on the goal you set in the conversation.

Absolutely. Agents can call tools to gather evidence for their arguments. One agent might fetch stats while another challenges the payout logic.

Vinkius manages the secure endpoint. You define the agents' permissions, ensuring they only access the specific tools required for their task.

Yes, the adapter handles the schema conversion automatically. You just point the agent to the Vinkius URL and start the conversation.

The server uses a zero-trust architecture. It processes affiliate names and payout amounts in an ephemeral environment that discards data once the agent finishes.

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