How to Use the Loomly MCP in Mastra AI

Q: How do I add the Loomly MCP Server to a Mastra AI agent?

Run npm install @mastra/mcp@latest to install the package. Instantiate the client using new MCPClient with your Vinkius HTTP URL, call mcpClient.listTools(), and spread those tools directly into your agent configuration.

Q: Can I require manual approval before a Mastra AI agent posts to Loomly?

Yes, you can set requireToolApproval on the createnewpost tool. This forces the agent to pause and request human validation before any content goes live on your calendars.

Build reliable social media workflows using Mastra AI to automate Loomly post approvals with built-in retries.

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Connect Loomly MCP to Mastra AI

Create your Vinkius account to connect Loomly 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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Setup Loomly with Mastra AI

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Automated post scheduling with Mastra AI workflows

The `create_new_post` tool allows your Mastra AI agents to build multi-step scheduling pipelines that handle API hiccups automatically. If a network blip occurs while queuing a post, the framework uses exponential backoff to retry the request without failing the entire workflow. This MCP validation prevents unauthorized draft creation across your brand accounts. You can chain this with `get_user_profile` to verify the publishing agent's credentials before attempting any write actions.

Human-in-the-loop calendar reviews

The `list_calendar_posts` tool fetches pending drafts so your agent can evaluate them against brand guidelines. By using the `requireToolApproval` feature in this TypeScript-native framework, the agent pauses execution and waits for a manager's green light before executing any updates. This safeguard ensures that automated agents never publish content without a final human check. Once approved, the agent resumes and uses `get_calendar_details` to confirm the target queue properties.

Multi-step media asset validation

The `list_media_assets` tool lets your agent inspect your library to ensure all scheduled posts have the correct assets attached. If a post references a missing image, the workflow branches conditionally to flag the issue in your team Slack. The agent uses `get_post_details` to pinpoint the exact draft that needs attention. This automated auditing saves hours of manual spot-checking before major product launches.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loomly. 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.

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Common questions about Loomly MCP in Mastra AI

Run `npm install @mastra/mcp@latest` to install the package. Instantiate the client using `new MCPClient` with your Vinkius HTTP URL, call `mcpClient.listTools()`, and spread those tools directly into your agent configuration.

The workflow engine has built-in retry logic that automatically catches rate-limit errors. If an MCP tool call fails, the agent backs off and retries, keeping your scheduling pipelines running smoothly.

Yes, you can set `requireToolApproval` on the `create_new_post` tool. This forces the agent to pause and request human validation before any content goes live on your calendars.

Yes, the client automatically detects whether your Vinkius endpoint is using SSE or Streamable HTTP. It establishes the connection instantly without manual transport configuration.

Every tool call executes in an ephemeral V8 sandbox that wipes its memory instantly upon completion. Your calendar metadata, post details, and media assets are processed on the fly without persistent storage.

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