How to Use the Boostapp MCP in Google ADK

Connect Google ADK agents to your sales pipeline using Boostapp.

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Connect Boostapp MCP to Google ADK

Create your Vinkius account to connect Boostapp 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 Boostapp with Google ADK

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Sync Google ADK agents with Boostapp

Your Gemini-powered agent triggers `create_lead` whenever it identifies a qualified prospect. It maps data directly from your BigQuery tables into the CRM. This keeps your sales data in sync with your cloud infrastructure. You avoid manual entry entirely.

Restrict Boostapp tools in Google ADK

Use the tool_names filter to ensure your agent only touches `create_lead`. It prevents the agent from running unintended operations on your sales data. This gives you strict control over what the model can do. You define the boundaries inside your agent configuration.

Run Boostapp on Google ADK infrastructure

The server supports both Stdio and HTTP transports to fit your deployment. It runs alongside your other cloud services without extra overhead. Your agent reaches the CRM over a private connection. It integrates into your existing Google Cloud stack.

Setup guide

Set up Boostapp 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 Boostapp 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="Boostapp_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Boostapp 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 Boostapp. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Boostapp MCP in Google ADK

Use the McpToolset class in your Python script. Point it at the server URL and add it to your agent tool list.

Only the data you explicitly pass to the tool. The agent cannot read your entire CRM unless you grant it access.

Yes. The tools remain available even if your Gemini model is processing huge datasets from your cloud storage.

Definitely. The server is designed for stable HTTP connections that survive long-running agent processes.

Data is encrypted in transit using TLS. We never store your contact records on our servers; they flow straight to your CRM.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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