How to Use the Amplemarket MCP in AutoGen

Q: How do I give AutoGen agents Amplemarket tools?

Use the mcpservertools function with StreamableHttpServerParams pointing to your Vinkius URL. Pass the returned list directly into your AssistantAgent constructor.

Q: How does AutoGen handle Amplemarket contact limits?

Agents debate pagination strategies. If an agent calls listcontacts and hits a limit, another agent can suggest refining the search parameters to narrow the results.

Let your AutoGen agents debate sales strategies using real-time Amplemarket data via our secure MCP Server integration.

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Connect Amplemarket MCP to AutoGen

Create your Vinkius account to connect Amplemarket 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 Amplemarket with AutoGen

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Perplexity

Multi-agent Amplemarket enrichment

Complex sales research requires multiple perspectives. You spin up a researcher agent with access to `enrich_company` and `enrich_person`. It pulls firmographic data and hands the profile to a strategist agent for analysis. They discuss the findings. If the strategist needs more context, it pushes back, forcing the researcher to dig deeper using `get_contact`. This consensus-driven approach yields far better qualification than a single-pass script.

Enforce rules with `list_exclusions`

Compliance matters in cold outreach. Assign a dedicated compliance agent the `list_exclusions` tool. Before your copywriter agent finalizes an email, the compliance bot checks the target isn't on the do-not-contact list. This setup prevents catastrophic mistakes. The agents negotiate the final send list autonomously. You just watch the terminal output as they cross-reference prospects against your active opt-out records.

AutoGen MCP Server for sequences

Analyzing campaign performance takes effort. A data agent can call `list_sequences` to map out your current outreach structure. It shares this map with a performance agent to debate which sequence fits a new batch of leads. Connecting these tools requires the `autogen-ext[mcp]` package. You pass your Vinkius URL into `mcp_server_tools`, and the adapter handles all schema conversions. Your agents start reading sales data immediately.

Setup guide

Set up Amplemarket 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 Amplemarket 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="Amplemarket_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the `mcp_server_tools` function with `StreamableHttpServerParams` pointing to your Vinkius URL. Pass the returned list directly into your `AssistantAgent` constructor.

Yes. You assign specific tools to different agents. A research bot gets enrichment tools, while an admin bot handles sequence listing.

Agents debate pagination strategies. If an agent calls `list_contacts` and hits a limit, another agent can suggest refining the search parameters to narrow the results.

Only if you prompt them to. You instruct a reviewer agent to always call `list_exclusions` before approving any generated outreach list.

Phone numbers and email addresses flow through an isolated execution environment. Once your agents receive the HTTP response, the Vinkius container destroys itself, leaving zero trace of your CRM records.

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