How to Use the HappierLeads MCP in AutoGen
Debate your sales strategy with AutoGen. Let agents negotiate the best leads using HappierLeads data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HappierLeads MCP to AutoGen
Create your Vinkius account to connect HappierLeads 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.
Negotiate lead quality with AutoGen agents
Assign one agent to `list_qualified_leads` and another to analyze visitor intent. Let them debate the best prospects to pursue based on the data retrieved from the server. This ensures your team only contacts high-value accounts. Competing agents force a rigorous selection process that filters out noise.
Automate visitor analysis with multi-agent consensus
Use `get_top_pages` to feed site performance data to your agents. They discuss which pages indicate the highest intent, helping you prioritize your follow-up efforts. This collaborative approach removes individual bias. You get a consensus-driven lead list that is ready for immediate outreach.
Manage outbound risks using HappierLeads
Deploy a security-focused agent to check `list_notifications` for unusual activity. If the system flags potential issues, the agent alerts your team before you proceed. This protects your reputation during prospecting. You get the speed of automation with the caution of a human-like oversight process.
Set up HappierLeads 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 HappierLeads 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="HappierLeads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HappierLeads 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="HappierLeads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HappierLeads 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 HappierLeads. 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 HappierLeads MCP in AutoGen
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