How to Use the Fidelizador MCP in AutoGen

Q: How do I configure AutoGen to use the Fidelizador MCP Server?

Install autogen-extmcp and use mcpservertools with the Vinkius server URL. Pass the generated tools list directly into your AssistantAgent constructor to start.

Q: Can AutoGen agents collaborate to update Fidelizador contacts?

Yes, one agent can fetch details using listcontacts while another runs updatecontact to modify loyalty points, ensuring a collaborative and verified workflow.

Q: How does this setup protect my customer's contact details?

All calls to tools like createcontact and deletecontact run inside an isolated V8 sandbox. Your customer contact details are never stored or exposed to external agents during the debate.

Set up AutoGen agents to debate and optimize your Fidelizador loyalty campaigns.

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Connect Fidelizador MCP to AutoGen

Create your Vinkius account to connect Fidelizador 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 Fidelizador with AutoGen

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Run multi-agent debates on your loyalty strategy

By using `create_mailing_list`, your AutoGen marketing agent can set up new segments while other agents debate the budget. With AutoGen and this MCP Server, you can have a marketing agent propose a new segment while a budget agent reviews the cost. They debate the plan using campaign details pulled from `get_campaign`. Once they reach a consensus, the executing agent runs `create_contact` to add the targeted shoppers.

Secure contact updates with AutoGen and this MCP Server

The `update_contact` tool is guarded by AutoGen's consensus-driven workflow to prevent accidental data overwrites. You can set up a security agent that monitors calls to `update_contact` or `delete_contact` before they execute. The security agent checks the proposed changes against rules, while the main agent pulls the contact details using `list_contacts` to verify the ID, preventing bad data writes.

Automate list curation through agent negotiation

Automating list cleanup starts with `list_contacts` to identify inactive shoppers in your database. One agent can pull inactive users while another decides if they should be moved. They negotiate whether to run `delete_contact` or move them to a win-back list using `create_mailing_list`, keeping your database highly targeted and lowering bounce rates.

Setup guide

Set up Fidelizador 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 Fidelizador 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="Fidelizador_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about Fidelizador MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with the Vinkius server URL. Pass the generated tools list directly into your `AssistantAgent` constructor to start.

Yes, one agent can fetch details using `list_contacts` while another runs `update_contact` to modify loyalty points, ensuring a collaborative and verified workflow.

They use conversational consensus to debate which list a user belongs to. An agent might check `list_mailing_lists` before agreeing on where to place a contact.

It supports both stdio and Streamable HTTP transports. This lets your agents connect to the server hosted on Vinkius reliably without complex networking setups.

All calls to tools like `create_contact` and `delete_contact` run inside an isolated V8 sandbox. Your customer contact details are never stored or exposed to external agents during the debate.

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