How to Use the FindThatLead MCP in AutoGen
Let your AutoGen agents debate and coordinate FindThatLead campaigns and lead qualification in real time.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FindThatLead MCP to AutoGen
Create your Vinkius account to connect FindThatLead 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.
Coordinate Lead Verification via AutoGen Agent Debates
The `email_verifier` tool allows your AutoGen verification agent to check prospect emails before your outreach agent drafts a message using the FindThatLead MCP server. One agent calls the verifier, while another analyzes the risk score to decide if the lead is safe to contact. This multi-agent debate ensures you never send campaigns to risky addresses. The agents use `email_verifier` to agree on which contacts pass your strict delivery standards before updating your CRM.
Drive Multi-Agent Prospecting Campaigns in AutoGen
The `email_finder` tool lets your AutoGen research agent search for specific contacts based on names and domains. Once found, a separate campaign agent can check `get_campaign` to determine which sequence fits the prospect's profile. This collaborative workflow lets your agents divide and conquer. One agent hunts for the contact details while the other manages the campaign assignments, keeping your outreach highly targeted.
Monitor Account Stats with AutoGen MCP Server
The `get_account_stats` tool provides your AutoGen controller agent with real-time credit usage and account balance data. This agent can debate with your execution agents on whether to pause high-volume searches if credits are running low. By checking `get_account_stats` dynamically, your multi-agent system self-regulates. It prevents runaway loops from draining your FindThatLead balance without your explicit approval.
Set up FindThatLead 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 FindThatLead 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="FindThatLead_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FindThatLead 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="FindThatLead_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FindThatLead 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 FindThatLead. 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.
Why Choose Vinkius
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Common questions about FindThatLead MCP in AutoGen
Use it with your favorite AI tools
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