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Range MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Create Update, Get Objective, Get Snippet, and more

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Range through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Range app connector for Mastra AI 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 { 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: {
      "range": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Range Agent",
    instructions:
      "You help users interact with Range " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Range?"
  );
  console.log(result.text);
}

main();
Range
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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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Range tool infrastructure. Connect 11 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

  • 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 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.

All 11 Range tools available for Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 11 tools from Range via MCP

Why Use Mastra AI with the Range MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Range without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Range tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Range + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Range, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Range as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Range on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Range tools alongside other MCP servers

Example Prompts for Range in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Range + Mastra AI FAQ

Common questions about integrating Range MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.