How to Use the ReferralHero MCP in AutoGen
Deploy AutoGen agents that debate and coordinate ReferralHero actions like subscriber updates and point allocations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ReferralHero MCP to AutoGen
Create your Vinkius account to connect ReferralHero to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Run AutoGen multi-agent consensus for ReferralHero
Prevent automated mistakes by letting your AutoGen agents debate before executing tools. When a conversion event occurs, a validation agent can cross-reference the data before a second agent calls `track_conversion`. This collaborative approach ensures that actions like `add_points` are only triggered when all criteria are met. If the validation agent flags a suspicious transaction ID, the execution agent halts the process.
Automated subscriber cleanup with AutoGen debate loops
Maintain list hygiene without manual oversight. You can set up a conversation where one agent analyzes inactivity patterns from `list_subscribers` and proposes removing a user. A supervisor agent reviews the proposal against active campaigns found via `list_lists`. If they agree the subscriber is inactive, the execution agent calls `delete_subscriber` to clean up the campaign.
Run structured debates on ReferralHero reward distribution
Optimize your marketing spend by letting agents negotiate. One agent can query `get_rewards` to analyze current costs, while another reviews the current leaderboard using `get_leaderboard`. Together, they decide if a subscriber deserves a bonus and use `update_subscriber` to apply the changes. This MCP Server handles the actual API calls once the agents reach a consensus.
Set up ReferralHero 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes ReferralHero tools and returns structured results.
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="ReferralHero_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ReferralHero data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="ReferralHero_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ReferralHero data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ReferralHero. 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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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.
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place for every integration
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Common questions about ReferralHero MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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