How to Use the AeroLeads MCP in AutoGen

Q: How do I initialize the AeroLeads MCP Server in AutoGen?

Run pip install -U "autogen-extmcp". Use mcpservertools with StreamableHttpServerParams pointing to your endpoint, then pass the resulting list to your AssistantAgent.

Q: How does AutoGen handle AeroLeads schema conversions?

The McpToolAdapter manages all formatting behind the scenes. Your agents receive standard JSON schemas for endpoints like getaccountinfo without requiring custom wrapper functions.

Q: Can AutoGen agents read my existing lead lists?

An agent runs listcapturedleads to review what you already have. It then debates with other agents about whether a new prospect is a duplicate before adding them.

Deploy debating AutoGen agents that research domains, verify contact details, and build AeroLeads lists through consensus.

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Create your Vinkius account to connect AeroLeads 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 AeroLeads with AutoGen

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Multi-agent prospect research

You shouldn't rely on a single prompt to build your sales pipeline. Deploy a researcher agent that aggressively calls `search_domain_leads` while a separate analyst agent reviews the output to ensure the titles match your target demographic. The two models debate the quality of the findings. Only when they reach a consensus does a third manager agent execute `add_new_lead` to push the approved contact into your database.

Verify contacts via AutoGen

Bad data destroys cold outreach campaigns. Set up a verifier agent tasked exclusively with running `find_email_by_name` and cross-referencing the results using `get_linkedin_details`. If the verifier detects a mismatch between the email domain and the current LinkedIn employer, it blocks the addition. This conversational negotiation ensures your final list contains only highly accurate, verified records.

Automate team management with this MCP Server

Administrative tasks drain time from actual selling. An operations agent periodically runs `list_team_members` to audit who has access to the account and checks current limits via `get_credit_balance`. If credits drop below a certain threshold, the agent notifies your Slack channel. If it spots an inactive webhook using `list_webhooks`, it flags the issue for review before your integrations break.

Setup guide

Set up AeroLeads 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 AeroLeads 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="AeroLeads_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Run `pip install -U "autogen-ext[mcp]"`. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your endpoint, then pass the resulting list to your AssistantAgent.

Yes. You assign different tools to different agents. Give one agent access to `search_domain_leads` and another exclusive rights to `delete_lead` to enforce separation of duties.

The `McpToolAdapter` manages all formatting behind the scenes. Your agents receive standard JSON schemas for endpoints like `get_account_info` without requiring custom wrapper functions.

An agent runs `list_captured_leads` to review what you already have. It then debates with other agents about whether a new prospect is a duplicate before adding them.

Vinkius manages the authentication through a single endpoint token. When your agents debate over raw prospect profiles and phone numbers, the server executes those API calls in a secure, ephemeral V8 environment.

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