How to Use the Amplemarket MCP in AutoGen
Assemble a team of AutoGen agents to debate and execute your Amplemarket sales strategy. Go from idea to outreach, automatically.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Debate Your Prospecting Strategy
Create a team of specialized agents. One agent, the 'Prospector', uses `search_people` to find potential leads. Another agent, the 'Qualifier', reviews those leads and decides if they're a good fit for the business. The Prospector presents its findings. The Qualifier can push back: 'This contact's title isn't senior enough. Find me VPs using `find_person` instead.' They converse until they reach a consensus on a high-quality lead list, which is then created with `create_lead_list`.
Consensus-Driven Sequence Assignment with AutoGen
Build on your agent team. A 'SequenceManager' agent uses `list_sequences` to know all available outreach campaigns. A 'Strategist' agent holds the high-level goals for the quarter. After the Qualifier approves a lead, the Strategist and SequenceManager debate the best next step. 'This is a CEO, put them in the exec outreach sequence,' one might say. The other confirms the sequence exists and then an 'Executor' agent makes the call to `add_leads_to_sequence`. It's a team decision, not a single command.
A Reactive, Multi-Agent Sales Team
You can have an 'Analyst' agent that periodically calls `list_lead_lists` to monitor list growth. If a list is stagnant, it can start a conversation with the Prospector agent to get more leads. An 'Operator' agent can listen for external events. When a new high-value company is funded, the Operator can use `trigger_custom_signal` in Amplemarket and tell the other agents, 'New priority target, find me the CTO.' This creates a reactive system that manages your sales pipeline through conversation.
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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Amplemarket tools and returns structured results.
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) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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) 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
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