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Range MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Update, Get Objective, Get Snippet, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Range through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Range app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Range, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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 Range MCP Server

Connect your Range.co account to any AI agent and take full control of your team communication and check-in orchestration through natural conversation. Range provides a premier platform for keeping remote and hybrid teams synchronized, and this integration allows you to retrieve team metadata, monitor check-in updates (snippets), and track organizational objectives directly from your chat interface.

The Vercel AI SDK gives every Range tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Check-in & Update Orchestration — List all managed updates and retrieve detailed metadata including snippet content programmatically.
  • Team & User Lifecycle Management — Access and monitor your workspace teams and retrieve detailed user profile metadata directly from the AI interface.
  • Objective & Goal Intelligence — Access organizational objectives to maintain a clear overview of team alignment and progress via natural language.
  • Activity & Snippet Control — Retrieve specific snippets and check-in details to stay informed about daily team accomplishments.
  • Operational Monitoring — Track system activity and manage workspace metadata using simple AI commands to ensure your team remains high-performing.

The Range MCP Server exposes 11 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.

All 11 Range tools available for Vercel AI SDK

When Vercel AI SDK connects to Range through Vinkius, your AI agent gets direct access to every tool listed below — spanning async-check-ins, team-sync, objective-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_update

Post a new standup update

get_objective

Get details for a specific objective

get_snippet

Get details of a specific check-in snippet

get_team

Get details for a specific team

get_update

Get details of a specific update (check-in)

get_user

Get details for a specific team member

list_goals

List all team goals

list_objectives

List team objectives

list_teams

List all teams

list_updates

Can be filtered by target_id or for_user_id. List team check-ins (updates)

list_users

List all users in the organization

Connect Range to Vercel AI SDK via MCP

Follow these steps to wire Range into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Range and passes them to the LLM

Why Use Vercel AI SDK with the Range MCP Server

Vercel AI SDK provides unique advantages when paired with Range through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Range integration everywhere

03

Built-in streaming UI primitives let you display Range tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Range + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Range MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Range in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Range tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Range capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Range through natural language queries

Example Prompts for Range in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Range immediately.

01

"List all teams in my Range workspace."

02

"Show me all team standup updates from today with their mood indicators and blockers."

03

"Show me the progress on all team objectives for this quarter with completion percentages."

Troubleshooting Range MCP Server with Vercel AI SDK

Common issues when connecting Range to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Range + Vercel AI SDK FAQ

Common questions about integrating Range MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.