How to Use the Jebbit MCP in AutoGen

Deploy AutoGen agents that debate and decide based on live Jebbit marketing performance data.

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Connect Jebbit MCP to AutoGen

Create your Vinkius account to connect Jebbit 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 Jebbit with AutoGen

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Debate marketing strategy using Jebbit data

Give your agents access to `list_campaigns` and `list_segments`. Let a performance agent debate a strategy agent about which audience cohort to target next. This moves decision-making away from hard-coded rules. Your agents use the actual data from the API to reach a consensus on your marketing moves.

Manage Jebbit integrations with agent consensus

Use `list_integrations` and `list_webhooks` to let agents audit your connection status. If one agent flags a broken hook, another can verify the integration logs. It creates a self-correcting system. The agents negotiate the fix, ensuring your data pipelines stay operational without your direct intervention.

Audit user permissions via AutoGen

Task your security agent with running `list_users` to check for unauthorized access. It compares the output against your expected list of admins. This automates your security checks. You get a report on your account status generated by agents that prioritize your defined safety constraints.

Setup guide

Set up Jebbit 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 Jebbit 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="Jebbit_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the MCP extension and pass the server tools to your agents. They will automatically handle the schema conversion and start their debate.

Yes. Every agent in your team has access to the tool list, allowing them to collaborate on tasks like campaign analysis and segment auditing.

The agents evaluate the task and choose the best tool based on their internal logic. They might call `get_experience` to understand a quiz structure before proposing changes.

The tools provide read-only access to your data. Your agents analyze and report, keeping your core configuration secure.

All communication is authenticated with your endpoint token. We ensure that only authorized agents can trigger the MCP server to retrieve account or user data.

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