How to Use the Elevio MCP in AutoGen

Enable multi-agent debate in AutoGen by giving your team access to Elevio knowledge management tools.

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Connect Elevio MCP to AutoGen

Create your Vinkius account to connect Elevio 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 Elevio with AutoGen

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Perplexity

Collaborative Audits with AutoGen

Deploy a specialized agent to run `quick_content_health_audit` while another agent debates the results. They work together to decide what needs fixing. This prevents hasty changes to your documentation. The agents negotiate the best path forward before taking action on your account.

Negotiated Content Updates

Assign agents to review `list_draft_knowledge_articles` and debate publication readiness. They challenge each other until they reach a consensus. This forces a rigorous review process for every draft. You get better quality control because the agents act as a team of editors.

Module-Aware Support Agents

Use `list_active_modules` to help agents understand the current assistant configuration. They adjust their behavior based on which modules are enabled. Your agents stay aligned with your actual support setup. They don't suggest features that aren't live in your account.

Setup guide

Set up Elevio 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 Elevio 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="Elevio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

They call the tools during their deliberation process. You provide the tools to the agents, and they decide when to use them to solve a problem.

Yes. You set up a team where one agent monitors the knowledge base and another executes the updates.

They do. You can instruct your agents to cross-reference article details before making any changes to your site.

Pass your API key as an environment variable to the server. The agents only interact with the tools you explicitly expose.

It handles article content, category structures, and assistant metadata. This is the only data the server touches, and it remains within your secure runtime.

Use it with your favorite AI tools

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