How to Use the Fomo MCP in AutoGen

Q: Can AutoGen agents manage Fomo events?

Yes. Your agents call createevent or deleteevent after they reach a consensus. This ensures every social proof entry is vetted by your system.

Q: How do AutoGen and Fomo handle template debates?

Agents pull templates using listtemplates and then critique them. They reach a decision on which to use, ensuring only the best content hits your feed.

Q: Do AutoGen agents check Fomo integration logs?

They do. Agents use listintegrations to verify that your connections are active. They report any discrepancies back to you during their deliberation.

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Debate events with AutoGen agents

Let your agents negotiate whether to trigger `create_event`. One agent monitors store traffic while another checks if the current volume justifies a new notification. This prevents spam by forcing a consensus before any action occurs. They use `list_events` to verify the state of your feed before acting.

Manage templates in AutoGen

Your agents can discuss which `list_templates` results are most effective for your current audience. They debate the copy and use `create_template` to deploy the winner. This keeps your messaging fresh and relevant. The agents challenge each other to ensure every template meets your brand standards.

Oversee Fomo via AutoGen

Agents use `get_application_info` to audit your account status during their conversations. If one agent flags a configuration risk, the other adjusts the `list_integrations` usage. This negotiation ensures your setup is always optimized. It removes the need for you to manually adjust settings or monitor for errors.

Setup guide

Set up Fomo 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 Fomo 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="Fomo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Fomo data")
print(result.messages[-1].content)

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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="Fomo_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Fomo data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fomo. 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 Fomo MCP in AutoGen

Yes. Your agents call `create_event` or `delete_event` after they reach a consensus. This ensures every social proof entry is vetted by your system.

Agents pull templates using `list_templates` and then critique them. They reach a decision on which to use, ensuring only the best content hits your feed.

Yes. Your endpoint token restricts access to your account. Only the agents you authorize can call these tools, keeping your data locked down.

They do. Agents use `list_integrations` to verify that your connections are active. They report any discrepancies back to you during their deliberation.

This server only provides access to event logs and template identifiers. Your sensitive account data is never exposed beyond the specific tool calls needed for operation.

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