How to Use the Range MCP in Mastra AI

Q: How can Mastra AI automate Range updates?

Define a workflow that uses listupdates to check for new entries. Your agent then processes these updates and uses createupdate to post summaries or feedback automatically.

Q: Does Mastra AI support human-in-the-loop with Range?

You can set requireToolApproval on any Range tool call. This forces the agent to pause and wait for your confirmation before posting a new update.

Build automated team workflows with Mastra AI and the Range MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Range MCP to Mastra AI

Create your Vinkius account to connect Range to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Range with Mastra AI

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Automated status tracking in Mastra AI

Chain `list_updates` and `create_update` to build workflows that handle your daily standup process. Your agents can now read incoming updates and post responses without manual input. This setup allows for conditional logic based on team progress. If a user reports a blocker, your workflow triggers an automated alert or follows up for more context.

Agent-driven goal alignment

Use `list_objectives` to give your agents visibility into the current company focus. Agents compare new snippets against these objectives to ensure work stays on track. It turns your project tracking into an active conversation. Your agents act as a layer of intelligence that connects daily tasks to broader team goals.

Graceful failure handling for team data

Implement retry logic for `get_team` calls within your Mastra workflows. If the initial request fails, the agent automatically retries or logs the error for your review. This ensures your automation remains consistent even when network conditions fluctuate. You get a reliable way to manage team information across complex multi-step processes.

Setup guide

Set up Range MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Range tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "range-mcp-client",
  servers: {
    "range-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Range Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Range tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Range transactions"
);
console.log(result.text);

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Common questions about Range MCP in Mastra AI

Define a workflow that uses `list_updates` to check for new entries. Your agent then processes these updates and uses `create_update` to post summaries or feedback automatically.

Absolutely. You write logic to check if a snippet mentions a blocker via `get_snippet`. Based on that result, the workflow branches to notify a manager or update a task board.

You can set `requireToolApproval` on any Range tool call. This forces the agent to pause and wait for your confirmation before posting a new update.

The server accesses your team's check-ins, snippet history, and objective lists. It only touches the records you explicitly query through the provided toolset.

It uses a single endpoint token provided at setup. This token authenticates all tool calls, keeping your team information protected.

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