How to Use the Instantly MCP in AutoGen

Q: Can the agents manage multiple sending accounts?

Yes, the agents call listaccounts to see all connected senders. They can distribute the sending load dynamically based on individual inbox health.

Run multi-agent debates in AutoGen to verify leads and manage your Instantly campaigns without burning sender domains.

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Connect Instantly MCP to AutoGen

Create your Vinkius account to connect Instantly 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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Resolve sender safety debates in AutoGen

Let your agents fight over deliverability so you don't have to. In AutoGen, a safety agent can monitor your inbox health using `get_account_stats` while a growth agent demands more volume. They debate the risks before touching your live setup. If the safety agent notices high spam complaints, it blocks the growth agent's request to run `resume_campaign`. The agents negotiate a safer sending limit, only executing the tool once they reach consensus.

Multi-agent lead verification using this MCP Server

Importing dirty data is the fastest way to get blacklisted. This MCP Server allows your AutoGen agents to collaborate on lead quality. A researcher agent scrapes the web, a verifier checks the domain, and only then does the writer agent call `add_leads`. The agents use `list_leads` to audit what's already in the queue. They debate whether a lead fits the current campaign context, ensuring your sequences remain highly targeted and relevant.

Automated campaign management via agent consensus

Managing complex cold email sequences requires constant monitoring. You can set up an AutoGen group where one agent tracks performance via `get_campaign_analytics` and another manages the technical setup using `list_subsequences`. When performance drops, they don't just alert you. They discuss the issue, decide if a specific sequence is broken, and collaboratively call `pause_campaign` to stop the bleeding while they draft new copy.

Setup guide

Set up Instantly 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 Instantly 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="Instantly_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

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Common questions about Instantly MCP in AutoGen

You set up a group chat where one agent monitors stats using `get_account_stats` and another executes commands. They discuss campaign performance before calling `resume_campaign`.

Yes, the safety agent can audit the list. If it finds invalid emails, it refuses to agree to the `add_leads` call, stopping the action until the list is clean.

Use the AutoGen MCP extension to load the tools from the server. The adapter automatically maps endpoints like `list_campaigns` and `pause_campaign` into schemas your agents can use.

Yes, the agents call `list_accounts` to see all connected senders. They can distribute the sending load dynamically based on individual inbox health.

All transactions containing sending account credentials and lead contact details are isolated. The MCP server runs in a secure, ephemeral sandbox, ensuring your private keys and prospect lists are never cached or exposed.

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