Quantive (Gtmhub) MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Quantive (Gtmhub) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"quantive-gtmhub": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Quantive (Gtmhub) Agent",
instructions:
"You help users interact with Quantive (Gtmhub) " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Quantive (Gtmhub)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Quantive (Gtmhub) tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Quantive (Gtmhub) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Quantive (Gtmhub) via MCP
Why Use Mastra AI with the Quantive (Gtmhub) MCP Server
Mastra AI provides unique advantages when paired with Quantive (Gtmhub) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Quantive (Gtmhub) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Quantive (Gtmhub) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Quantive (Gtmhub) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Quantive (Gtmhub) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Quantive (Gtmhub), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Quantive (Gtmhub) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Quantive (Gtmhub) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Quantive (Gtmhub) tools alongside other MCP servers
Quantive (Gtmhub) MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Quantive (Gtmhub) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Quantive (Gtmhub) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQuantive (Gtmhub) + Mastra AI FAQ
Common questions about integrating Quantive (Gtmhub) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Quantive (Gtmhub) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Quantive (Gtmhub) to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.