How to Use the CONSENSUS MCP in AutoGen

Let your AutoGen agents debate and coordinate sales follow-ups using live CONSENSUS MCP Server data.

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Connect CONSENSUS MCP to AutoGen

Create your Vinkius account to connect CONSENSUS 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 CONSENSUS with AutoGen

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Multi-agent debate over CONSENSUS analytics

Enable your AutoGen agents to argue over the best follow-up strategy based on real data. One agent analyzes CONSENSUS demo engagement using `list_demolytics`, while another checks the active team users via `list_users` to assign the lead. They negotiate the best response, ensuring no lead is contacted with a generic pitch. The AutoGen conversation converges on a tailored strategy grounded in actual prospect behavior.

Automated demo selection via MCP Server coordination

Let an AutoGen sales agent and a product specialist agent coordinate which CONSENSUS demo to send next. The product agent lists available assets using `list_demos`, and the sales agent reviews past invitations with `list_invitations` to avoid duplicates. Once they agree on the best asset, they prepare the board details using `get_demoboard`. The entire workflow happens autonomously through structured AutoGen agent discussions.

Track active CONSENSUS buyer boards across AutoGen groups

Manage complex enterprise accounts by letting a group of AutoGen agents monitor active boards using `list_demoboards`. A coordinator agent assigns tracking tasks to specialized sub-agents based on account size. If a CONSENSUS board shows high engagement, the coordinator triggers a priority alert. The AutoGen agents collaborate to draft a targeted contract proposal based on the specific features the buyer watched.

Setup guide

Set up CONSENSUS 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 CONSENSUS 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="CONSENSUS_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about CONSENSUS MCP in AutoGen

You use the autogen-ext package to load the MCP tools via the streamable HTTP transport. Once loaded, you pass the CONSENSUS tools list directly into your AutoGen AssistantAgent constructor. The schema conversion is handled automatically under the hood.

Yes, any agent in your AutoGen group chat can call CONSENSUS tools like `list_demolytics` if they are registered. This allows an analyst agent to pull the metrics and share them with a writer agent in the same thread. The agents work together to analyze prospect interest in CONSENSUS.

The MCP adapter supports concurrent execution, allowing AutoGen agents to fetch multiple data points at once. An agent can call `list_demos` and `list_users` in parallel to speed up decision-making. This prevents bottlenecking during complex multi-agent negotiations over CONSENSUS assets.

No, Vinkius handles all CONSENSUS authentication on the server side. Your AutoGen agents only need a single endpoint token to connect and run queries. This keeps your local environment clean and free of sensitive API keys.

All CONSENSUS data processed by AutoGen is isolated within secure, ephemeral V8 sandboxes. Your demoboards and viewer engagement metrics are never stored on Vinkius servers or used for AutoGen model training. The connection is fully encrypted and session-specific.

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