How to Use the Twenty CRM MCP in AutoGen

Q: Can I use AutoGen to list contacts in Twenty CRM?

Yes, listing records via listpeople is straightforward. The value comes when multiple agents debate how to filter and interpret that large resulting set of people data.

Q: If I want to check data privacy with AutoGen and Twenty CRM, what specific data type does it touch?

This server interacts with People records. You can set up a compliance agent that must review access rights before any large-scale reads or writes occur.

Get consensus on decisions using AutoGen with Twenty CRM.

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Connect Twenty CRM MCP to AutoGen

Create your Vinkius account to connect Twenty CRM 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 Twenty CRM with AutoGen

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Perplexity

Negotiating record changes

Need to update a key account? You can set up agents that debate the approach. One agent might suggest `update_company`, while another checks if the associated contacts need updating via `list_people`. They negotiate the best final action for Twenty CRM.

Deliberative data cleanup

Autonomous agents handle complex deletion logic. One agent might propose using `delete_task` to clear old items, but a second agent reviews the associated `get_opportunity` record first. They converge on whether the deletion is safe and appropriate.

Coordinating multi-source updates

The framework lets agents coordinate multiple steps. For instance, an agent retrieves all relevant people via `list_people`, discusses which ones need new tasks, and then collectively calls `create_task` for the group.

Setup guide

Set up Twenty CRM 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 Twenty CRM 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="Twenty CRM_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Twenty CRM data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Twenty CRM MCP in AutoGen

AutoGen shines when decisions are hard. Instead of just calling a tool, you build agents that discuss *which* tools to call and why, leading to consensus on the best path for Twenty CRM.

Yes, listing records via `list_people` is straightforward. The value comes when multiple agents debate *how* to filter and interpret that large resulting set of people data.

You build a system where different perspectives challenge the update. One agent might suggest `update_person`, while another confirms necessary changes to related opportunities first.

It's designed for it. The system requires deliberation between competing viewpoints, making the decision-making process itself an observable part of the workflow.

This server interacts with `People` records. You can set up a compliance agent that must review access rights before any large-scale reads or writes occur.

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