How to Use the Hunter MCP in AutoGen

Q: How do AutoGen agents collaborate using the Hunter MCP Server?

One agent uses emailfinder to locate a prospect, then passes the result to a second agent. That second agent runs emailverifier to confirm the address is safe to use.

Q: Can I set up an AutoGen budget agent to monitor Hunter costs?

Yes, you can designate an agent to run getaccount before any search operations. If your remaining API credits fall below a set threshold, the agent pauses the workflow.

Q: How do AutoGen agents handle bounced emails from Hunter campaigns?

Your monitoring agent calls listrecipients to find bounced addresses. It then instructs the database agent to remove those contacts from your active lists.

Q: What happens if agents disagree on a lead's email status?

The compliance agent uses emailverifier to get the final word. If the status is risky, the agent blocks the contact from being added to listleads.

Build multi-agent AutoGen debates to verify leads and build clean outreach lists using the Hunter MCP Server.

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Connect Hunter MCP to AutoGen

Create your Vinkius account to connect Hunter 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 Hunter with AutoGen

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Debate lead quality using AutoGen agents

The `email_verifier` tool acts as the ultimate filter during multi-agent planning sessions in your AutoGen workflow. A lead-generation agent finds contacts using `email_finder`, while a compliance agent uses verification to challenge their deliverability. This consensus-driven process ensures that no unverified address makes it to your final campaign list. The agents argue over the confidence score of each contact before agreeing to proceed.

Optimize Hunter MCP Server campaigns via AutoGen

The `list_campaigns` tool provides the raw performance data that your optimization agents need to debate strategy. One agent analyzes low open rates from `get_campaign` while another proposes copy changes to improve engagement. By accessing `list_recipients`, your agents can identify which target segments are bouncing. They negotiate the best way to clean the list, ensuring your sender reputation remains spotless.

Map target accounts with collaborative agents

The `domain_search` tool allows your research agents to map out the organizational structure of high-value targets. A coordinator agent assigns different domains to sub-agents, who compile the contact lists. Using `get_account` lets your billing agent monitor credit usage in real-time. If credits run low, the agent halts the research loop until the human supervisor approves more budget.

Setup guide

Set up Hunter 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 Hunter 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="Hunter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hunter.io. 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 Hunter MCP in AutoGen

One agent uses `email_finder` to locate a prospect, then passes the result to a second agent. That second agent runs `email_verifier` to confirm the address is safe to use.

Yes, you can designate an agent to run `get_account` before any search operations. If your remaining API credits fall below a set threshold, the agent pauses the workflow.

Your monitoring agent calls `list_recipients` to find bounced addresses. It then instructs the database agent to remove those contacts from your active lists.

The compliance agent uses `email_verifier` to get the final word. If the status is risky, the agent blocks the contact from being added to `list_leads`.

All communications between your AutoGen agents and the server are encrypted end-to-end. Vinkius processes your lead data in zero-trust, memory-only environments, ensuring no persistent storage of your proprietary lists.

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