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How to Use the BasicOps MCP in Mastra AI

Build reliable BasicOps workflows that handle task creation, failure retries, and team notifications automatically using Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect BasicOps MCP to Mastra AI

Create your Vinkius account to connect BasicOps to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate reliable task pipelines

Network requests fail. When you build a pipeline that runs `create_project` followed by `create_task`, Mastra AI automatically wraps those calls in exponential backoff. If the BasicOps API throttles your request, the framework waits and tries again. Conditional branching lets you handle edge cases gracefully. If `get_task` returns an overdue status, your workflow can branch off to ping the assignee. You build the logic once, and the agent executes it flawlessly every time.

Require approval for BasicOps MCP Server actions

Some operations need a human eye before execution. You can configure Mastra AI to pause the workflow right before the agent fires the `update_task` tool. The system waits for an administrator to click approve. Reading data stays entirely automated. The agent freely runs `list_projects` or `list_team_users` to gather context. It only stops when attempting to mutate state, keeping your project boards safe from rogue edits.

Sync external systems with project states

Cross-platform synchronization requires perfect timing. Your agent can monitor active connections using `list_webhooks` to ensure external apps receive updates. If a hook goes down, the workflow alerts the team. Pulling deep project state happens in sequential steps. The agent grabs the layout via `list_project_sections`, then iterates through `list_project_tasks` to build a complete map. Mastra handles the asynchronous execution order automatically.

Setup guide

Set up BasicOps 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

  4. 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: "basicops-mcp-client",
  servers: {
    "basicops-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BasicOps. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BasicOps MCP in Mastra AI

Instantiate a new MCPClient with your Vinkius URL in the servers object. Then call mcpClient.listTools() and spread the results into your agent's tool array.
Yes, the framework includes built-in retry logic. If a create_task call drops due to a timeout, the workflow engine automatically attempts it again based on your backoff settings.
You set requireToolApproval on specific mutation operations. The agent will pause before executing update_task and wait for your designated interface to send an approval signal.
The client auto-detects the best transport layer available. It defaults to Streamable HTTP or SSE to pull down heavy payloads from list_task_messages without blocking the main thread.
The tools access project metadata, team rosters, and task contents. Because get_account_info and similar tools read live user data, Vinkius sandboxes the execution in an ephemeral V8 isolate to prevent cross-contamination.

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