How to Use the BoardEffect MCP in AutoGen

Get agents debating board strategy using AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BoardEffect MCP to AutoGen

Create your Vinkius account to connect BoardEffect 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.

GDPR Free for Subscribers

Setup BoardEffect with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate board data with AutoGen

Assign one agent to fetch data with `get_account_info` while another evaluates the findings. This setup forces your agents to reach consensus on board actions. Conflicts in data or policy get resolved through this internal deliberation. Your system arrives at a decision only after the agents cross-examine the board records.

Manage workrooms via AutoGen

Use `list_workrooms` to give your agent a map of your board environment. Different agents can then take responsibility for specific workrooms based on their defined roles. This multi-agent approach prevents bottlenecks. One agent manages the document list while another handles the actual retrieval and analysis of board materials.

Coordinate meetings with AutoGen

Let your agents negotiate schedules and agendas using `list_meetings`. They debate potential conflicts and confirm details before presenting a final plan to you. This reduces the back-and-forth you usually deal with. The agents handle the logistical heavy lifting by checking the board schedule against your requirements.

Setup guide

Set up BoardEffect 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 BoardEffect 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="BoardEffect_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BoardEffect now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BoardEffect MCP in AutoGen

You pass the tool list to the AssistantAgent constructor. All agents in your conversation then have equal access to the tools they need to perform their tasks.

They can. If one agent finds an inconsistency in the meeting list, it can flag the discrepancy for another agent to verify, ensuring your data stays clean.

They do. The tools are designed to be invoked by any agent in the loop, allowing for complex, collaborative problem solving across your board activities.

The adapter manages schema conversion, but you should define a supervisor agent to catch failed calls. It will re-prompt the acting agent to try a different tool or parameters.

Access is restricted to the specific agent assigned to the task. Every tool invocation is logged and gated by the Vinkius security layer, preventing unauthorized exposure.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript