Drupal MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Drupal through the 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Drupal, 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 Drupal MCP Server
Connect your Drupal site to any AI agent and take full control of your headless content management and JSON:API workflows through natural conversation.
The Vercel AI SDK gives every Drupal tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Content Node Orchestration — Identify bounded routing spaces inside headless Drupal models and extract explicitly attached REST arrays tracking standard JSON:API boundaries
- Entity Management — Provision highly-available JSON payloads to write rows into Drupal entities, or irreversibly vaporize nodes to clear live document entities
- Revision Mutation — Substitute draft values safely by triggering HTTP PATCH operations to replace row segments isolating partial updates mapping specific UUIDs
- Taxonomy Management — Enumerate explicitly attached structured rules defining how content is categorized natively through terms and vocabularies
- File & Media Discovery — Taps raw configurations pulling explicitly managed Drupal files to discover raw CDN URIs mitigating headless media blocking
- Identity Oversight — Evaluate physical arrays isolating actual editors and administrators exposing their metadata and access roles securely
- Metadata Auditing — Retrieve the exact structural matching verifying file storage and analyzing explicit UUID bounds for managed attachments
The Drupal MCP Server exposes 10 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.
How to Connect Drupal to Vercel AI SDK via MCP
Follow these steps to integrate the Drupal MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Drupal and passes them to the LLM
Why Use Vercel AI SDK with the Drupal MCP Server
Vercel AI SDK provides unique advantages when paired with Drupal 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 Drupal integration everywhere
Built-in streaming UI primitives let you display Drupal 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
Drupal + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Drupal MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Drupal in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Drupal tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Drupal capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Drupal through natural language queries
Drupal MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Drupal to Vercel AI SDK via MCP:
create_cms_node
Provision a highly-available JSON Payload writing Rows into Drupal entities
get_file_metadata
Retrieve the exact structural matching verifying File storage
get_single_node
Retrieve explicit Cloud logging tracing explicit Node UUIDs
get_taxonomy_term
Perform structural extraction of properties driving active Term mappings
list_content_nodes
Identify bounded routing spaces inside the Headless Drupal models
list_drupal_users
Identify precise active arrays spanning rented Admin identities
list_managed_files
Inspect deep internal arrays mitigating specific Picture constraints
list_term_vocabularies
Enumerate explicitly attached structured rules exporting Taxonomies
patch_cms_node
Mutate global Web CRM boundaries substituting Draft values safely
wipe_cms_node
Irreversibly vaporize explicit App nodes dropping live Document entities
Example Prompts for Drupal in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Drupal immediately.
"List the last 5 'article' nodes from Drupal"
"Create an 'article' with title 'AI Integration' and body 'Testing Drupal MCP...'"
"Show me all terms in the 'tags' vocabulary"
Troubleshooting Drupal MCP Server with Vercel AI SDK
Common issues when connecting Drupal to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDrupal + Vercel AI SDK FAQ
Common questions about integrating Drupal 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.Connect Drupal with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Drupal to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.