Quantive (Gtmhub) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Quantive (Gtmhub) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Quantive (Gtmhub), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Quantive (Gtmhub) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Quantive (Gtmhub) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Quantive (Gtmhub) and passes them to the LLM
Why Use Vercel AI SDK with the Quantive (Gtmhub) MCP Server
Vercel AI SDK provides unique advantages when paired with Quantive (Gtmhub) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Quantive (Gtmhub) integration everywhere
Built-in streaming UI primitives let you display Quantive (Gtmhub) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Quantive (Gtmhub) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Quantive (Gtmhub) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Quantive (Gtmhub) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Quantive (Gtmhub) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Quantive (Gtmhub) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Quantive (Gtmhub) through natural language queries
Quantive (Gtmhub) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Quantive (Gtmhub) to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Quantive (Gtmhub) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpQuantive (Gtmhub) + Vercel AI SDK FAQ
Common questions about integrating Quantive (Gtmhub) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Quantive (Gtmhub) 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 Quantive (Gtmhub) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.