How to Use the Octoboard MCP in AutoGen

Q: How does AutoGen handle Octoboard API status updates?

An agent can be tasked to monitor getapistatus. If the connection drops, it can alert you before the other agents start their work.

Enable multi-agent debate on marketing performance using AutoGen and the Octoboard MCP Server.

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Connect Octoboard MCP to AutoGen

Create your Vinkius account to connect Octoboard to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Octoboard with AutoGen

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Debate your marketing strategy with AutoGen

Set up a performance agent and a strategy agent to talk about your numbers. Use `push_variation_metric` to update the dashboard as they agree on new targets. They challenge each other's conclusions based on the data they pull. It’s a fast way to get a second opinion on your reporting.

Coordinate client reporting via agent consensus

Let your agents decide which metrics matter most. One agent calls `list_active_dashboards` while another evaluates the data to decide where to push updates. They negotiate the final report layout before the `push_data_table` tool actually writes the changes to your client dashboard.

Monitor your API usage across agents

When multiple agents are active, it's easy to hit limits. Use `check_api_usage` to give your management agent a way to track how much data you're moving. If you get close to your cap, the agent can pause the reporting flow. It keeps your automation running within your plan limits.

Setup guide

Set up Octoboard 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 Octoboard 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="Octoboard_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Yes. Because the MCP tools are shared, your agents can pass data back and forth to refine their reporting decisions.

Pass the server tool list to each agent constructor. This gives every agent in your conversation the ability to call the same set of reporting tools.

That's the point. They will debate the numbers until they find a consensus, then use the push tools to update your dashboard.

An agent can be tasked to monitor `get_api_status`. If the connection drops, it can alert you before the other agents start their work.

The agents only handle the specific data points you authorize. All communication happens through secure, local tool calls within your defined environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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