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 AutoGen 10 tools — connect in under 2 minutes

Name: Quantive (Gtmhub)
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Quantive (Gtmhub) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="quantive_gtmhub_agent",
            tools=tools,
            system_message=(
                "You help users with Quantive (Gtmhub). "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Quantive (Gtmhub) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Quantive (Gtmhub) MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Quantive (Gtmhub) automatically

Why Use AutoGen with the Quantive (Gtmhub) MCP Server

AutoGen provides unique advantages when paired with Quantive (Gtmhub) through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Quantive (Gtmhub) tools to solve complex tasks

Role-based architecture lets you assign Quantive (Gtmhub) tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Quantive (Gtmhub) tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Quantive (Gtmhub) tool responses in an isolated environment

Quantive (Gtmhub) + AutoGen Use Cases

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

Collaborative analysis: one agent queries Quantive (Gtmhub) while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Quantive (Gtmhub), a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Quantive (Gtmhub) data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Quantive (Gtmhub) responses in a sandboxed execution environment

Quantive (Gtmhub) MCP Tools for AutoGen (10)

These 10 tools become available when you connect Quantive (Gtmhub) to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Quantive (Gtmhub) + AutoGen FAQ

Common questions about integrating Quantive (Gtmhub) MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Quantive (Gtmhub) tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.