How do I get an Onboard.io API Key?

You can find your API key in the Onboard.io dashboard under Settings > API. This token is used for Bearer authentication.

Can I see internal comments on a plan?

Yes! Use the `list_plan_comments` tool with a specific Plan ID to retrieve the discussion history and internal notes for that implementation.

What progress metrics are available?

The `get_plan_progress_analytics` tool provides health scores, percent complete, and overview stats for your launch plans.

Onboard.io Implementation MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Onboard.io Implementation
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Onboard.io Implementation as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

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="onboardio_implementation_agent",
    instruction=(
        "You help users interact with Onboard.io Implementation "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Onboard.io Implementation MCP Server

Connect your Onboard.io account to your AI agent and streamline your customer implementation and onboarding workflows through natural conversation and real-time project tracking.

Google ADK natively supports Onboard.io Implementation 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

Launch Plan Oversight — List all active customer implementation plans and retrieve detailed progress and metadata.
Task Management — Access all tasks and milestones associated with specific plans and check their assignments and due dates.
Customer Monitoring — List and inspect profiles for all customer accounts currently in the onboarding phase.
Team Collaboration — View internal team members and specialists assigned to your onboarding projects.
Communication Tracking — Retrieve a history of discussion and internal comments for any launch plan.
Progress Analytics — Fetch high-level health metrics and percent-complete stats for your implementation workflows.
Deep Inspection — Fetch complete metadata for specific plans, tasks, or customers using their unique IDs.

The Onboard.io Implementation 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 Onboard.io Implementation to Google ADK via MCP

Follow these steps to integrate the Onboard.io Implementation 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 Onboard.io Implementation via MCP

Why Use Google ADK with the Onboard.io Implementation MCP Server

Google ADK provides unique advantages when paired with Onboard.io Implementation 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 Onboard.io Implementation

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 Onboard.io Implementation tools with BigQuery, Vertex AI, and Cloud Functions

Onboard.io Implementation + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Onboard.io Implementation MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Onboard.io Implementation and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Onboard.io Implementation tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Onboard.io Implementation regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Onboard.io Implementation

Onboard.io Implementation MCP Tools for Google ADK (10)

These 10 tools become available when you connect Onboard.io Implementation to Google ADK via MCP:

get_member_details

Get team member profile

get_onboarding_customer_details

Get customer profile info

get_plan_details

Get specific plan info

get_plan_progress_analytics

Get plan health metrics

get_task_details

Get specific task info

list_onboarding_customers

List onboarding customers

list_onboarding_plans

List all implementation plans

list_plan_comments

List plan collaboration comments

list_plan_tasks

List onboarding tasks

list_team_members

io. List onboarding team members

Example Prompts for Onboard.io Implementation in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Onboard.io Implementation immediately.

"List all our active onboarding plans."

"What is the status of the 'API Integration' task in plan 'plan_98765'?"

"Show me the health metrics for the 'Enterprise Launch' project."

Troubleshooting Onboard.io Implementation MCP Server with Google ADK

Common issues when connecting Onboard.io Implementation to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Onboard.io Implementation + Google ADK FAQ

Common questions about integrating Onboard.io Implementation MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.