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Webiny CMS MCP Server for Mastra AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Webiny CMS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "webiny-cms": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Webiny CMS Agent",
    instructions:
      "You help users interact with Webiny CMS " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Webiny CMS?"
  );
  console.log(result.text);
}

main();
Webiny CMS
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IAMAccess control
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Webiny CMS tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Webiny CMS MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 9 tools from Webiny CMS via MCP

Why Use Mastra AI with the Webiny CMS MCP Server

Mastra AI provides unique advantages when paired with Webiny CMS through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Webiny CMS without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Webiny CMS tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Webiny CMS + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Webiny CMS MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Webiny CMS, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Webiny CMS as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Webiny CMS on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Webiny CMS tools alongside other MCP servers

Webiny CMS MCP Tools for Mastra AI (9)

These 9 tools become available when you connect Webiny CMS to Mastra AI via MCP:

01

create_cms_entry

Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model

02

delete_cms_entry

This action is irreversible. Permanently deletes a content entry revision

03

execute_graphql_query

Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API

04

get_api_introspection

Retrieves the GraphQL schema introspection for the Webiny instance

05

get_model_entry_details

ID refers to the specific revision. Retrieves details for a specific content model entry

06

get_tenant_config

Retrieves global settings for the Webiny tenant

07

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

08

publish_cms_entry

Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API

09

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 Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Webiny CMS immediately.

01

"List all entries for the 'BlogPosts' model in en-US."

02

"Create a new 'Author' entry: { 'name': 'John Doe', 'bio': 'Tech Writer' } in en-US."

03

"Publish the entry with ID 'post-123' for model 'Article'."

Troubleshooting Webiny CMS MCP Server with Mastra AI

Common issues when connecting Webiny CMS to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Webiny CMS + Mastra AI FAQ

Common questions about integrating Webiny CMS MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Webiny CMS to Mastra AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.