How to Use the Convai MCP in AutoGen

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

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Connect Convai MCP to AutoGen

Create your Vinkius account to connect Convai 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 Convai with AutoGen

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Claude

Perplexity

Debate character design in AutoGen

Assign `generate_backstory` to a creative agent and `update_character` to a technical agent. They will argue over the best persona until they reach a consensus. This setup allows the team to iterate on narratives without you writing a single line of code. They handle the negotiation and final implementation.

Execute live character updates

Use the `update_knowledge_bank` tool when your agents decide to refine character information. They can push changes to the server automatically. Your security agent can review the changes before they go live. It prevents accidental deletions or bad edits to your production characters.

Coordinate narrative triggers

Give your agents access to `list_narrative_triggers` so they can synchronize game events. They compare the current state against your requirements. If a trigger is missing, they call `create_narrative_trigger` to fix it. The agents keep the environment consistent and ready for users.

Setup guide

Set up Convai 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 Convai 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="Convai_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The MCP adapter converts the server tools into functions your agents can call. Once registered, agents can debate which tool to use for a given task.

Yes. Every agent in your group can share access to the Convai tools. You set the permissions to decide which agent creates or deletes characters.

Vinkius manages the auth tokens, ensuring your agents only access what they need. No external party can intercept the communication between your agents and the server.

The MCP server logs every tool invocation. You can review the history to see exactly which agent called which tool and what the response was.

Your character files remain on the Convai backend. The agents simply send instructions to modify these records via the MCP server interface.

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