How to Use the Follow Up Boss MCP in AutoGen
Deploy teams of AI agents to manage Follow Up Boss with AutoGen. Let them debate the best course of action for every lead and task.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Follow Up Boss MCP to AutoGen
Create your Vinkius account to connect Follow Up Boss 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.
Let Agents Debate Lead Strategy
With AutoGen, you set up multiple agents that talk to each other. A 'Scout' agent can use `list_smart_lists` to find new, high-value leads. Instead of acting alone, it presents the lead to a 'Strategist' agent. The Strategist can then use `list_events` to check the lead's website activity and debate the best first touchpoint. This conversational approach means you're not locked into a single, rigid workflow. The agents can reason together, challenge assumptions, and arrive at a better plan. One agent might propose an immediate call, while another argues for a personalized email first, based on the data.
Create Specialist Agent Teams
Build a team of agents with specific roles. You can have a 'Taskmaster' agent whose only job is to run `list_tasks` and find overdue items. When it finds one, it doesn't just send a generic alert. It passes the task details to a 'Communicator' agent. The Communicator then uses `get_person` to pull the contact's name and `get_deal` to find the associated deal value. It formulates a specific, context-rich prompt for the human agent and logs it using `add_note`. The final action is a result of their collaboration.
Simulate Your Sales Team with an AutoGen MCP Server
Model your real estate team's decision-making process. You can configure one `AssistantAgent` to act as your data-driven ops manager and another to act as your aggressive top salesperson. Then, you can feed them the output of `list_deals` from the Follow Up Boss MCP server. Watch them converse about the data. The ops agent might argue for focusing on nurturing older leads, while the sales agent pushes to prioritize new ones. It’s a powerful way to explore strategies and pressure-test your ideas before committing your human team's time.
Set up Follow Up Boss 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 Follow Up Boss 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="Follow Up Boss_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Follow Up Boss 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="Follow Up Boss_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Follow Up Boss 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 Follow Up Boss. 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 Follow Up Boss MCP in AutoGen
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