How to Use the Onpipeline MCP in Google ADK

Q: How do I configure Onpipeline with Google ADK?

Install google-adk via pip. Create a McpToolset using StreamableHttpServerParameters with your Vinkius URL, then pass it to your LlmAgent tools array.

Q: Can Google ADK filter which Onpipeline tools the agent accesses?

You can restrict access using the toolnames parameter. If you only want the agent reading data, you just expose listpipelines and getdealdetails while hiding the creation endpoints.

Give your Google ADK agents direct access to the Onpipeline MCP Server to bridge CRM data with BigQuery analytics.

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Connect Onpipeline MCP to Google ADK

Create your Vinkius account to connect Onpipeline 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 Onpipeline with Google ADK

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Feed Gemini Massive Sales Context

Google's massive token window changes how you handle CRM data. Instead of chunking records, your agent can pull the entire board using `list_crm_deals` and `list_crm_organizations`. You feed that raw output directly into Gemini. The model analyzes hundreds of accounts simultaneously, identifying stalled deals without complex vector searches.

Bridge Onpipeline and BigQuery

Enterprise teams keep their source of truth in the data warehouse. This MCP Server integration lets you sync activity-based selling metrics straight from the sales floor. Your Google ADK agent pulls daily touchpoints via `list_activities` and `list_crm_events`. It then formats that data and writes it into BigQuery, giving revenue operations a real-time view of rep performance.

Trigger Deal Workflows via MCP Server

You don't have to wait for manual data entry. When a Vertex AI pipeline scores a lead as high-intent, your agent takes immediate action. The agent calls `create_crm_contact` and `create_crm_deal` to push the qualified prospect back into the sales team's active pipeline. You control exactly which tools the agent sees using the `tool_names` filter.

Setup guide

Set up Onpipeline 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 Onpipeline 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="Onpipeline_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Onpipeline tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Onpipeline MCP in Google ADK

Install `google-adk` via pip. Create a `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL, then pass it to your `LlmAgent` tools array.

You can restrict access using the `tool_names` parameter. If you only want the agent reading data, you just expose `list_pipelines` and `get_deal_details` while hiding the creation endpoints.

Gemini handles massive payloads natively. You can dump the full response from `list_crm_contacts` straight into the prompt context without worrying about token limits.

Yes, the Google ADK supports both. Vinkius provides the managed HTTP endpoint, so you will use the Streamable HTTP transport for this specific server connection.

The connection operates on a zero-trust model. When your agent queries phone numbers or emails via `get_contact_details`, the request executes in an ephemeral container that self-destructs the moment the transaction finishes.

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