Directus MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 16 tools to Check Directus Status, Create Item, Delete Item, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Directus through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Directus app connector for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Directus, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Directus MCP Server
Connect your Directus instance to any AI agent and manage your content database through natural conversation.
The Vercel AI SDK gives every Directus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Collection Management — List all data collections with field counts and inspect individual collection schemas
- Content CRUD — Create, read, update, and delete items in any collection using JSON payloads
- Search & Query — Search items within collections by keyword to find specific content quickly
- Schema Inspection — List all fields and their data types for any collection to understand your data model
- File Management — Browse uploaded files and retrieve metadata for specific assets
- User & Role Management — List all users with roles and status, view role configurations, and check your own profile
- Audit Trail — Access the activity log of recent database operations for compliance and debugging
The Directus MCP Server exposes 16 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 16 Directus tools available for Vercel AI SDK
When Vercel AI SDK connects to Directus through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql-database, graphql, rest-api, 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.
Verify connectivity
Create an item
Delete an item
Get collection details
Get file details
Get item details
Get current user
List recent activity
List collections
List fields
List files
List items
List roles
List users
Search items
Update an item
Connect Directus to Vercel AI SDK via MCP
Follow these steps to wire Directus into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Directus MCP Server
Vercel AI SDK provides unique advantages when paired with Directus through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Directus integration everywhere
Built-in streaming UI primitives let you display Directus tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Directus + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Directus MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Directus in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Directus tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Directus capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Directus through natural language queries
Example Prompts for Directus in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Directus immediately.
"Show me all collections in my Directus instance and the fields for the 'articles' collection."
"Create a new article titled 'AI in Healthcare 2025' with status 'draft' and search for existing articles about AI."
"Show me the recent activity log and list all users with their roles."
Troubleshooting Directus MCP Server with Vercel AI SDK
Common issues when connecting Directus to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDirectus + Vercel AI SDK FAQ
Common questions about integrating Directus MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.