How to Use the Pipeliner MCP in Google ADK

Q: How do I configure Pipeliner within the Google ADK framework?

You instantiate McpToolset using your Vinkius HTTP endpoint. This registers the MCP Server, letting your Google ADK LlmAgent configuration expose all 10 Pipeliner tools immediately.

Q: Can I combine Pipeliner data with BigQuery in Google ADK?

Yes. Your Google ADK agent can call listpipelineraccounts to fetch active CRM records and write them directly into a BigQuery table using Google Cloud tools.

Q: Can I restrict Google ADK to specific tools?

Yes. Use the optional toolnames filter in the ADK toolset to restrict the agent. You can limit it to listpipelinertasks and block write-heavy operations.

Feed Pipeliner CRM data directly into Google ADK to analyze deals and run long-context reasoning with Gemini.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Pipeliner MCP to Google ADK

Create your Vinkius account to connect Pipeliner to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Pipeliner with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Analyze pipeline health with Gemini and Google ADK

The `list_pipeliner_pipelines` tool feeds your entire sales pipeline structure directly into Google ADK. Gemini's massive 1M+ token context window allows the Google ADK agent to ingest every Pipeliner stage at once. You can write complex reasoning prompts to identify Pipeliner bottleneck stages using Google ADK. The Google ADK agent processes this Pipeliner structure alongside your current sales operations guidelines to flag stalled deals instantly.

Join CRM opportunities with BigQuery datasets

The `list_pipeliner_opportunities` tool extracts active deal values for your Google ADK agent. Because the Google ADK runs natively on Google Cloud, your agent can query this live Pipeliner CRM data and join it with historical billing tables in BigQuery. This setup lets you build live Pipeliner forecasting models inside Google ADK. The Google ADK agent maps Pipeliner opportunity close dates to your cloud warehouse records without requiring manual data exports.

Track team activities with this Pipeliner MCP Server

The `list_pipeliner_activities` tool exposes scheduled tasks and sales interactions directly to Google ADK. Your Google ADK agent uses this endpoint to monitor how many customer touchpoints occur before a Pipeliner opportunity closes. You can automate follow-up reminders by linking these Pipeliner activities to Google Workspace tools. The Google ADK agent reads the active tasks and queues up drafts in Gmail based on the latest Pipeliner interactions.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pipeliner. 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.

Connect Pipeliner now

Real-time monitoring

Live

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 Pipeliner MCP in Google ADK

You instantiate `McpToolset` using your Vinkius HTTP endpoint. This registers the MCP Server, letting your Google ADK `LlmAgent` configuration expose all 10 Pipeliner tools immediately.

Yes. Your Google ADK agent can call `list_pipeliner_accounts` to fetch active CRM records and write them directly into a BigQuery table using Google Cloud tools.

Vinkius acts as the secure gateway, meaning your Google ADK setup only needs one environment variable for the MCP token to access Pipeliner.

Yes. Use the optional `tool_names` filter in the ADK toolset to restrict the agent. You can limit it to `list_pipeliner_tasks` and block write-heavy operations.

Your Pipeliner account and contact details are transmitted over TLS directly to your Google ADK runtime on Google Cloud. Vinkius operates a zero-trust, ephemeral MCP sandbox, so no customer data is ever stored on Vinkius servers.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript