How to Use the SmartLead MCP in AutoGen

Q: What specific actions does this MCP Server enable for AutoGen?

It enables everything from reading existing contacts (listleads) to changing critical states like adding new leads or listing current campaigns and accounts.

Q: If I use SmartLead with AutoGen, what data does it touch?

The server manages lead details (from addlead and listleads), campaign metrics (getcampaignanalytics), and account credentials.

Achieve consensus on outreach strategy with SmartLead using AutoGen.

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Setup SmartLead with AutoGen

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Debate Campaign Strategy with AutoGen

Set up a debate between agents. One agent can check the status of multiple campaigns using `list_campaigns`. Another can then use `get_campaign_analytics` to challenge assumptions about performance. The agents negotiate the best course, deciding whether to proceed or pause based on conflicting data.

Collaborative Lead Management with AutoGen

You can make your system self-correct. One agent might find a gap by calling `list_leads`, and another agent might propose adding new contacts using `add_lead`. They argue over the best time and method to add them. This consensus model is perfect for high-stakes, multi-step operations.

Resource Allocation via AutoGen

Build a system that manages resources. A 'Compliance Agent' can verify available sending accounts using `list_email_accounts`. A second agent might then use the information to calculate if the current volume is safe before calling `resume_campaign`. The agents debate whether the risk outweighs the reward.

Setup guide

Set up SmartLead 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 SmartLead 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="SmartLead_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

It treats every tool as a point of discussion. The multi-agent system allows different roles—like 'Analyst' and 'Executor'—to use the SmartLead MCP Server in sequence.

Yep. You can set up agents to argue over whether a campaign should be paused (`pause_campaign`) or if more data is needed from `get_campaign` before resuming it.

It's ideal. If your process requires multiple perspectives—like checking leads, analyzing results, and adjusting the campaign—AutoGen makes them debate to find the single best move.

It enables everything from reading existing contacts (`list_leads`) to changing critical states like adding new leads or listing current campaigns and accounts.

The server manages lead details (from `add_lead` and `list_leads`), campaign metrics (`get_campaign_analytics`), and account credentials.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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