How to Use the Pipeline CRM MCP in Google ADK

Q: How do I connect the Pipeline CRM MCP Server to my Google ADK agent?

You initialize the server using McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly into your LlmAgent configuration to expose the CRM capabilities to Gemini.

Q: Can I use Google ADK to combine Pipeline CRM data with Vertex AI models?

Yes, the ADK connects your Vertex AI models to tools like listpipelinedeals and listpipelinetasks. This allows the model to reason over live CRM data and recommend next steps during execution.

Q: Can I restrict which tools my enterprise agent can execute?

Yes, you can pass a toolnames filter to your toolset configuration. This lets you restrict access to specific tools like listpipelineusers or block modification actions entirely.

Feed Pipeline CRM records directly into Google ADK to analyze sales trends using Gemini's million-token context window.

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Connect Pipeline CRM MCP to Google ADK

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Setup Pipeline CRM with Google ADK

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Analyze complex sales histories with Google ADK

The `list_pipeline_deals` tool feeds your active pipeline data directly into Gemini's massive context window via the Google ADK MCP Server. This allows your agent to compare hundreds of open opportunities against historical closing patterns in a single run. Your agent combines this deal list with `list_pipeline_notes` to extract deep qualitative insights. Gemini processes these raw text comments alongside structured sales data to flag deals at risk of slipping.

Enrich BigQuery datasets with live CRM data

The `list_pipeline_companies` tool lets your Google ADK agent query active accounts and cross-reference them with your enterprise data warehouse. This connects your offline marketing analytics with real-world sales outcomes. Using `get_pipeline_account`, your agent pulls current subscription details to verify account status before updating your BigQuery tables. The entire pipeline runs securely within your Google Cloud infrastructure.

Coordinate customer outreach from Vertex AI

The `list_pipeline_people` tool provides your Google ADK agent with direct access to contact directories via this MCP integration. Your Vertex AI models can group contacts by engagement level and trigger follow-up tasks. The agent uses `list_pipeline_events` to check when the last meeting occurred before draft emails are generated. This prevents your automated systems from sending redundant outreach to active clients.

Setup guide

Set up Pipeline CRM 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 Pipeline CRM 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="Pipeline CRM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Pipeline CRM 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 Pipeline CRM. 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 Pipeline CRM MCP in Google ADK

You initialize the server using `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset directly into your `LlmAgent` configuration to expose the CRM capabilities to Gemini.

Yes, the ADK connects your Vertex AI models to tools like `list_pipeline_deals` and `list_pipeline_tasks`. This allows the model to reason over live CRM data and recommend next steps during execution.

Gemini's long-context window easily processes thousands of records returned by `list_pipeline_people`. The ADK streams this data directly into the model's context, avoiding token limit bottlenecks.

Yes, you can pass a `tool_names` filter to your toolset configuration. This lets you restrict access to specific tools like `list_pipeline_users` or block modification actions entirely.

Your data travels through an isolated, zero-trust V8 sandbox managed by Vinkius. Sensitive elements from `get_pipeline_deal` or `get_pipeline_person` are never stored, keeping your enterprise CRM records fully secure.

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