How do I generate an API token in Quantive?

Log in to your Quantive account, navigate to **Setup > Configuration > API tokens**, and click 'Generate token'. You'll need to select a user for the token's permissions.

Which data center should I select?

Check your browser URL when logged in. If it says `app.us.quantive.com`, select **US**. If it says `app.eu.quantive.com`, select **EU**.

Can I update the progress of my Key Results through this integration?

Yes! Use the `update_key_result` tool to set the current numeric value of any KR, and Quantive will automatically calculate the attainment percentage.

Does this integration support multiple sessions?

Yes. You can list all active and past sessions using `list_sessions`, allowing you to query OKRs from different timeframes as needed.

Quantive (Gtmhub) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Quantive (Gtmhub)
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 Quantive (Gtmhub) 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

Open in ChatGPT Open in Claude Open in Perplexity

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="quantive_gtmhub_agent",
    instruction=(
        "You help users interact with Quantive (Gtmhub) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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 Quantive (Gtmhub) MCP Server

Connect your Quantive (formerly Gtmhub) strategy platform to any AI agent and drive your organizational goals through natural conversation.

Google ADK natively supports Quantive (Gtmhub) 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

Objective Tracking — List and inspect strategic objectives to align your team's focus.
Key Result Management — Monitor progress on KRs and update current values directly from your chat or IDE.
Session Overview — Browse planning sessions and timeframes to understand quarterly or annual goals.
Team & User Insights — Retrieve team structures and user profiles to facilitate better collaboration.
Task Execution — List tasks linked to specific OKRs to bridge the gap between strategy and execution.

The Quantive (Gtmhub) 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 Quantive (Gtmhub) to Google ADK via MCP

Follow these steps to integrate the Quantive (Gtmhub) 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 Quantive (Gtmhub) via MCP

Why Use Google ADK with the Quantive (Gtmhub) MCP Server

Google ADK provides unique advantages when paired with Quantive (Gtmhub) 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 Quantive (Gtmhub)

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 Quantive (Gtmhub) tools with BigQuery, Vertex AI, and Cloud Functions

Quantive (Gtmhub) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Quantive (Gtmhub) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Quantive (Gtmhub) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Quantive (Gtmhub) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Quantive (Gtmhub) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Quantive (Gtmhub)

Quantive (Gtmhub) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Quantive (Gtmhub) to Google ADK via MCP:

get_key_result

Get details for a specific key result

get_my_profile

Get information about the current authenticated user

get_objective

Get details for a specific OKR objective

list_key_results

List all key results (metrics) in Quantive

list_objectives

List all OKR objectives in Quantive (Gtmhub)

list_sessions

g., Q1, Annual) used to group OKRs. List all planning sessions (timeframes) in Quantive

list_tasks

List tasks associated with OKRs

list_teams

List all organizational teams

list_users

List user profiles in the Quantive account

update_key_result

Update the current value of a key result

Example Prompts for Quantive (Gtmhub) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Quantive (Gtmhub) immediately.

"What are our main objectives for the current session?"

"Update key result ID 593021 to 75."

"List all teams assigned to our strategic objectives."

Troubleshooting Quantive (Gtmhub) MCP Server with Google ADK

Common issues when connecting Quantive (Gtmhub) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Quantive (Gtmhub) + Google ADK FAQ

Common questions about integrating Quantive (Gtmhub) 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.