Pipeliner MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pipeliner as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="pipeliner_agent",
instruction=(
"You help users interact with Pipeliner "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Pipeliner MCP Server
Connect your Pipeliner CRM space to any AI agent and take full control of your sales ecosystem through natural conversation.
Google ADK natively supports Pipeliner as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Lead & Opportunity Oversight — List and retrieve detailed metadata for leads and sales opportunities across your workspace.
- Sales Pipeline Management — List available pipelines and track the progress of deals through different stages.
- Workforce Visibility — List company accounts, business contacts, and team members to maintain a clear view of your stakeholders.
- Activity & Task Tracking — Monitor sales activities and assigned tasks to ensure your team stays productive.
- Detailed Entity Inspections — Get deep-dive details for any specific lead or opportunity to understand its full history.
The Pipeliner MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Pipeliner to Google ADK via MCP
Follow these steps to integrate the Pipeliner MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Pipeliner via MCP
Why Use Google ADK with the Pipeliner MCP Server
Google ADK provides unique advantages when paired with Pipeliner through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pipeliner
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Pipeliner tools with BigQuery, Vertex AI, and Cloud Functions
Pipeliner + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Pipeliner MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Pipeliner and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Pipeliner tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Pipeliner regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pipeliner
Pipeliner MCP Tools for Google ADK (10)
These 10 tools become available when you connect Pipeliner to Google ADK via MCP:
get_pipeliner_lead
Get details for a specific lead
get_pipeliner_opportunity
Get details for a specific opportunity
list_pipeliner_accounts
List all company accounts
list_pipeliner_activities
List sales activities and tasks
list_pipeliner_contacts
List all business contacts
list_pipeliner_leads
List all sales leads
list_pipeliner_opportunities
List all sales opportunities
list_pipeliner_pipelines
List available sales pipelines
list_pipeliner_tasks
List all assigned tasks
list_pipeliner_users
List users in the Pipeliner space
Example Prompts for Pipeliner in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Pipeliner immediately.
"List all sales opportunities in the 'Enterprise' pipeline."
"Show me the last 5 leads added to Pipeliner."
"What are my sales activities for this week?"
Troubleshooting Pipeliner MCP Server with Google ADK
Common issues when connecting Pipeliner to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPipeliner + Google ADK FAQ
Common questions about integrating Pipeliner MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Pipeliner with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pipeliner to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
