How to Use the Fera.ai MCP in AutoGen

Q: How do I register the Fera.ai MCP Server in an AutoGen agent?

Install the extension with pip install -U autogen-extmcp first. Then, use mcpservertools with your Vinkius URL and pass the resulting tools list directly to your AutoGen AssistantAgent constructor.

Q: Can AutoGen agents coordinate to update Fera.ai widgets?

Yes, one agent can call listsitecontent to inspect active widgets while another determines if the layout fits the current store strategy. They deliberate in a chat thread to decide on the best configuration.

Q: Does the Fera.ai MCP Server support AutoGen schema formats?

Yes, the McpToolAdapter in the AutoGen extension automatically converts the Fera.ai tool schemas into the format required by the agents. You do not need to write any manual mapping code.

Q: How is customer profile data secured in AutoGen?

Your Fera.ai customer profiles fetched via getcustomer are processed in a zero-trust, ephemeral sandbox. Vinkius ensures this sensitive buyer data is never stored on disk or shared between agent sessions.

Deploy AutoGen agents to debate and decide on store content updates using live Fera.ai social proof.

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Connect Fera.ai MCP to AutoGen

Create your Vinkius account to connect Fera.ai 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 Fera.ai with AutoGen

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Resolve content decisions via agent debate

`list_site_content` exposes active storefront widgets and social proof placements to your AutoGen agent team. A marketing agent and a design agent can debate whether to modify a specific review widget based on current store performance. This collaborative setup ensures that changes to your storefront are thoroughly analyzed before execution. The MCP Server acts as the source of truth, letting your agents inspect what content is currently live on your site.

Validate store reviews with AutoGen agents

`list_reviews` pulls the latest customer feedback so your AutoGen agents can run a consensus-driven moderation check. One agent flags potential spam or profanity, while another verifies the purchase history before deciding to publish. By forcing these agents to negotiate and agree, you eliminate the risk of automated systems publishing low-quality or fake reviews. The conversational framework ensures that every review undergoes a strict multi-perspective audit.

Analyze customer profiles across store networks

`list_customers` retrieves the profiles of buyers who have submitted feedback, allowing your AutoGen agents to analyze customer loyalty. A data analyst agent can cross-reference this list with store metadata to identify top advocates. The agents discuss their findings in a shared chat, converging on a list of VIP customers who should receive special offers. This automated deliberation helps you build highly targeted retention campaigns without manual spreadsheet work.

Setup guide

Set up Fera.ai 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 Fera.ai 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="Fera.ai_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Fera.ai 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 Fera.ai. 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 Fera.ai MCP in AutoGen

Install the extension with `pip install -U autogen-ext[mcp]` first. Then, use `mcp_server_tools` with your Vinkius URL and pass the resulting tools list directly to your AutoGen `AssistantAgent` constructor.

Yes, one agent can call `list_site_content` to inspect active widgets while another determines if the layout fits the current store strategy. They deliberate in a chat thread to decide on the best configuration.

Yes, the `McpToolAdapter` in the AutoGen extension automatically converts the Fera.ai tool schemas into the format required by the agents. You do not need to write any manual mapping code.

Yes, multiple agents in your group chat can call tools like `get_product_rating` or `get_review` as needed. The Vinkius server handles these parallel requests securely within its isolated environment.

Your Fera.ai customer profiles fetched via `get_customer` are processed in a zero-trust, ephemeral sandbox. Vinkius ensures this sensitive buyer data is never stored on disk or shared between agent sessions.

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