How to Use the Zenvia Conversion MCP in AutoGen

Resolve complex Zenvia Conversion decisions using AutoGen agents.

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Connect Zenvia Conversion MCP to AutoGen

Create your Vinkius account to connect Zenvia Conversion 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 Zenvia Conversion with AutoGen

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Perplexity

Multi-Agent Prospect Vetting

Set up a debate where one agent checks prospect status using `get_account` while another reviews historical contacts via `list_interactions`. They argue until consensus is reached on whether to proceed. This simulates human collaboration, forcing the system to weigh multiple data points before making a single decision.

Consensus-Driven Lead Management

Need to create a lead? Have one agent call `get_prospect` for details; let a second agent check if that prospect already has an open ticket using `list_labels`. The third agent then decides whether or not to trigger the `create_lead` tool. The final action isn't just executed; it requires deliberation between competing agents.

Negotiating Messaging Strategy

An agent can gather context by listing all groups using `list_groups`. A second agent then determines the most appropriate communication tool, deciding if a simple `send_message` or a formal `send_template` is required. The agents negotiate the best path forward—it’s not just calling a function; it's reasoning about the *best* function call.

Setup guide

Set up Zenvia Conversion 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 Zenvia Conversion 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="Zenvia Conversion_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

AutoGen uses the MCP Server tools to simulate multi-agent conversation. Agents challenge each other's proposed actions—for example, debating whether `send_message` is better than `send_template`.

Yes. You can build a system where agents debate the best action after gathering data from `list_prospects`. They converge on a single, qualified outcome that requires multiple tool calls.

It’s perfect. If your workflow involves checking conditions and requiring sign-off from different 'perspectives' (agents), AutoGen forces the necessary deliberation between tools like `list_labels` and `get_account`.

You can. Agents can decide which communication method is best—using either `send_message` or `send_template`—after reviewing the context provided by tools like `list_interactions`.

Since multiple agents handle data, you must ensure that all communication data and contact details accessed via `get_prospect` are handled securely throughout the entire debate process.

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