How to Use the Chanty MCP in AutoGen

Let your AutoGen agents debate and execute Chanty tasks using this MCP Server.

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Connect Chanty MCP to AutoGen

Create your Vinkius account to connect Chanty 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 Chanty with AutoGen

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Enable agent debate over Chanty actions

Assign `send_message` and `set_status` to your AutoGen AssistantAgent. Your agents can now discuss the content of a message before actually pushing it to the chat. This prevents errors by letting a security-focused agent verify the payload before a performance agent executes the send. It ensures consensus before any text hits your live rooms.

Automate Chanty member management

Use `list_members` to provide your agents with the current directory state. Agents can negotiate who should be invited to a project room based on their internal role definitions. This automates the onboarding process within your chats. The agents cross-reference the member list and decide who needs access to which conversation.

Vaporize stale Chanty histories

Configure your agents to use `delete_message` or `delete_conversation` when they identify obsolete project data. This keeps your workspace clean through autonomous cleanup routines. Your agents act as a janitorial service for your communications. They evaluate the age and relevance of discussions and purge them based on your defined criteria.

Setup guide

Set up Chanty 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 Chanty 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="Chanty_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the MCP extension for AutoGen and provide the server URL. The McpToolAdapter automatically maps the Chanty tools into the agent's available skill set.

Yes, that is the primary benefit of the framework. You can have one agent list the messages while another agent analyzes them, allowing for a collaborative approach to task management.

The server supports both stdio and Streamable HTTP transports. You choose the one that fits your specific deployment environment and agent setup.

You can assign these tools to a group chat of agents. They will work together, challenging each other's conclusions until they reach a consensus on the correct action.

Your user directory is accessed only via authenticated tool calls. The data remains ephemeral and is never stored outside of the session managed by your agent.

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