How to Use the Follow Up Boss MCP in Google ADK

Q: How is the Follow Up Boss MCP Server configured for Google ADK?

You define an McpToolset using your HTTP server URL. Pass this set into your LlmAgent configuration to give the model immediate access to your CRM tools.

Q: Will Follow Up Boss data sync with Google ADK in real-time?

The connection is live. When your agent calls createtask or addnote, the changes reflect in your CRM immediately.

Q: How do I filter which tools Google ADK sees?

Use the toolnames filter when setting up your McpToolset. This limits your agent to only the specific functions you want it to perform.

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Connect Follow Up Boss MCP to Google ADK

Create your Vinkius account to connect Follow Up Boss to Google ADK 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 Follow Up Boss with Google ADK

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Google ADK agents and contact management

Your agent uses `list_people` to search your database during client calls. It finds the right record in milliseconds, letting you confirm details while on the phone. If the lead is new, it uses `create_person` to save the information. This keeps your CRM accurate without you touching the keyboard.

Pipeline oversight using Google ADK

The agent monitors your sales velocity by calling `list_deals` across your brokerage. It flags deals that have been stagnant for too long. It uses `get_deal` to fetch specifics when you need to know why a transaction stalled. This gives you a clear view of your revenue health at any moment.

Task management for Google ADK workflows

Your agent keeps your team on track by using `list_tasks` to pull the day's priorities. It organizes these by urgency so you know exactly what to tackle first. When you finish a call, it uses `add_note` to save the summary. You never lose the context of a conversation again.

Setup guide

Set up Follow Up Boss MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Follow Up Boss tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Follow Up Boss_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Follow Up Boss tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

You define an `McpToolset` using your HTTP server URL. Pass this set into your `LlmAgent` configuration to give the model immediate access to your CRM tools.

The MCP server provides the interface to fetch live data from your CRM. You can then pipe that data into your BigQuery workflows for deeper analysis.

The connection is live. When your agent calls `create_task` or `add_note`, the changes reflect in your CRM immediately.

Your CRM data remains untouched in your account. The server is just a temporary bridge for your agent; it doesn't store your sensitive lead information.

Use the tool_names filter when setting up your `McpToolset`. This limits your agent to only the specific functions you want it to perform.

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