How to Use the Directus MCP in Mastra AI

Q: Can Mastra AI handle complex Directus logic?

It can. You build multi-step flows that call getitem or searchitems as needed. The agent handles the branching logic based on the data it receives.

Manage complex database workflows in Mastra AI with this Directus MCP server.

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Connect Directus MCP to Mastra AI

Create your Vinkius account to connect Directus 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 Directus with Mastra AI

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Claude

Perplexity

Automated workflow triggers

Use `list_activity` to monitor changes and kick off Mastra AI workflows based on real database events. It detects exactly when a record is changed so your agent can react. This ensures your multi-step processes run only when needed. You don't waste compute on empty polls.

Resilient item management

Mastra AI agents use `create_item` and `update_item` to maintain content state across long-running tasks. If a step fails, the agent can retry the operation using the same toolset. Your workflows handle failures gracefully. The agent remains in control of the database state throughout the entire execution.

Role-based database access

Inspect `list_roles` and `list_users` to verify agent permissions before executing sensitive tasks. Your agent checks its own constraints before attempting to modify records. This keeps your data safe from unauthorized changes. It's security-first design for your autonomous agents.

Setup guide

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

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

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

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Common questions about Directus MCP in Mastra AI

It can. You build multi-step flows that call `get_item` or `search_items` as needed. The agent handles the branching logic based on the data it receives.

You import the MCP client and spread the tools into your agent definition. The agent then dynamically chooses which tool to invoke based on the task.

They will. If a call fails, the framework's built-in retry mechanism triggers the tool again. You set the backoff policy in your agent configuration.

The connection is encrypted and scoped to your endpoint token. We secure the communication channel, and you define tool access levels within your agent code.

Directus handles your data in your own database instance. The MCP server only acts as a bridge for the tools, and we ensure the connection is ephemeral and strictly authenticated.

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