Webiny CMS MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Webiny CMS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Webiny CMS, 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 Webiny CMS MCP Server
Connect your Webiny CMS instance to any AI agent and manage your headless content infrastructure through natural conversation.
The Vercel AI SDK gives every Webiny CMS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Content Lifecycle — Create, update, publish, and delete content entries for any model directly from your agent
- Model Discovery — List all entries for specific content models and browse available data structures using introspection
- Advanced GraphQL — Execute raw GraphQL queries or mutations for custom logic and complex nested data operations
- Revision Control — Retrieve specific entry details by ID to inspect metadata and field-level property values
- API Management — Discover available types, fields, and models in your current environment through automated introspection
- Global Config — Verify high-level tenant settings and configurations to ensure your CMS environment is healthy
- Multi-Locale Support — Seamlessly manage content across different language locales (e.g., en-US, pt-BR)
The Webiny CMS MCP Server exposes 9 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 Webiny CMS to Vercel AI SDK via MCP
Follow these steps to integrate the Webiny CMS 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 9 tools from Webiny CMS and passes them to the LLM
Why Use Vercel AI SDK with the Webiny CMS MCP Server
Vercel AI SDK provides unique advantages when paired with Webiny CMS 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 Webiny CMS integration everywhere
Built-in streaming UI primitives let you display Webiny CMS 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
Webiny CMS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Webiny CMS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Webiny CMS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Webiny CMS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Webiny CMS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Webiny CMS through natural language queries
Webiny CMS MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Webiny CMS to Vercel AI SDK via MCP:
create_cms_entry
Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model
delete_cms_entry
This action is irreversible. Permanently deletes a content entry revision
execute_graphql_query
Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API
get_api_introspection
Retrieves the GraphQL schema introspection for the Webiny instance
get_model_entry_details
ID refers to the specific revision. Retrieves details for a specific content model entry
get_tenant_config
Retrieves global settings for the Webiny tenant
list_model_entries
Provide the model plural name (e.g. "Articles"). Specify api_type (manage for drafts, read for live). Lists all entries for a specific content model in Webiny
publish_cms_entry
Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API
update_cms_entry
Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision
Example Prompts for Webiny CMS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Webiny CMS immediately.
"List all entries for the 'BlogPosts' model in en-US."
"Create a new 'Author' entry: { 'name': 'John Doe', 'bio': 'Tech Writer' } in en-US."
"Publish the entry with ID 'post-123' for model 'Article'."
Troubleshooting Webiny CMS MCP Server with Vercel AI SDK
Common issues when connecting Webiny CMS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWebiny CMS + Vercel AI SDK FAQ
Common questions about integrating Webiny CMS 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 Webiny CMS 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 Webiny CMS to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.