DatoCMS MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DatoCMS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"datocms": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DatoCMS Agent",
instructions:
"You help users interact with DatoCMS " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DatoCMS?"
);
console.log(result.text);
}
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 DatoCMS MCP Server
Connect your DatoCMS project to any AI agent and take full control of your headless CMS and digital experience platform through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and DatoCMS tool infrastructure. Connect 10 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
- GraphQL Discovery — Identify bounded routing spaces inside the DatoCMS GraphQL tree and extract delivery arrays targeting specific schemas
- Record Orchestration — List, retrieve, and create CMS records natively, enforcing JSON:API specifications and item_type validation rules
- Content Mutation — Safely update existing records by patching attribute blocks or irreversibly vaporize document nodes to clear internal database limits
- Media Oversight — Inspect deep internal arrays of uploaded assets, track Imgix proxy mappings, and verify physical storage identifiers securely
- Schema Auditing — Enumerate explicitly registered models and item types defining the structure of your content blocks and editor environments
- CDA/CMA Integration — Seamlessly switch between Content Delivery (CDA) for high-performance reading and Content Management (CMA) for structural edits
The DatoCMS MCP Server exposes 10 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 DatoCMS to Mastra AI via MCP
Follow these steps to integrate the DatoCMS MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from DatoCMS via MCP
Why Use Mastra AI with the DatoCMS MCP Server
Mastra AI provides unique advantages when paired with DatoCMS through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DatoCMS without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DatoCMS tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DatoCMS + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DatoCMS MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DatoCMS, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DatoCMS as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DatoCMS on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DatoCMS tools alongside other MCP servers
DatoCMS MCP Tools for Mastra AI (10)
These 10 tools become available when you connect DatoCMS to Mastra AI via MCP:
create_cms_record
Provision a highly-available JSON Payload generating new content Items
execute_graphql_cda
Identify bounded routing spaces inside the Headless DatoCMS GraphQL tree
get_media_upload
Retrieve the exact structural matching verifying File blocks
get_single_record
Perform structural extraction of properties driving active Node details
list_cma_records
Retrieve explicit Cloud logging tracing explicit JSON:API arrays
list_global_models
Enumerate explicitly attached structured rules exporting Item Types
list_media_uploads
Inspect deep internal arrays mitigating specific Image storage
patch_cms_record
Mutate global Web CRM boundaries substituting Item parameters safely
wipe_cms_record
Irreversibly vaporize explicit App nodes dropping live Document rows
wipe_media_upload
Dispatch an automated validation check routing explicit Disk removals
Example Prompts for DatoCMS in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DatoCMS immediately.
"List all content models in DatoCMS"
"Execute this GraphQL query: '{ allPosts { title } }'"
"List the last 5 media uploads"
Troubleshooting DatoCMS MCP Server with Mastra AI
Common issues when connecting DatoCMS to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDatoCMS + Mastra AI FAQ
Common questions about integrating DatoCMS MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DatoCMS 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 DatoCMS to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.