Contentstack MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Contentstack 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: {
"contentstack": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Contentstack Agent",
instructions:
"You help users interact with Contentstack " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Contentstack?"
);
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 Contentstack MCP Server
Empower your conversational AI with secure and instant read access to your Contentstack headless CMS. Utilizing the Contentstack Delivery API, your agent can efficiently fetch published entries, retrieve asset URLs, and audit content type schema structures in real-time.
Mastra's agent abstraction provides a clean separation between LLM logic and Contentstack 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
- Entry Retrieval — Instruct the agent to query and read live content entries by searching for specific title tags or matching query filters.
- Asset Discovery — Request exact URLs from the media library to find specific images, PDFs, or files needed in your conversational context.
- Schema Inspections — Ask for a detailed structural breakdown of any Content Type before utilizing it in an external application.
The Contentstack 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 Contentstack to Mastra AI via MCP
Follow these steps to integrate the Contentstack 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 9 tools from Contentstack via MCP
Why Use Mastra AI with the Contentstack MCP Server
Mastra AI provides unique advantages when paired with Contentstack through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Contentstack 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 Contentstack 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
Contentstack + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Contentstack MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Contentstack, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Contentstack as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Contentstack on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Contentstack tools alongside other MCP servers
Contentstack MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Contentstack to Mastra AI via MCP:
get_asset_details
Get details for a specific asset
get_content_type_details
Get the schema for a specific content type
get_entry
Get detailed content for a specific entry
get_stack_summary
Get high-level metadata about the current stack
list_assets
List all published assets
list_content_types
List all content types in the stack
list_entries
List published entries for a specific content type
search_entries
Search for entries using a JSON query
sync_content
Retrieve delta of changes since last sync
Example Prompts for Contentstack in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Contentstack immediately.
"Retrieve the published blog post entry with the title 'Future Trends in AI' from our primary environment."
"Describe the content model schema required for 'Hero Banner' items in my stack."
"List the most recent image assets uploaded to our Contentstack library."
Troubleshooting Contentstack MCP Server with Mastra AI
Common issues when connecting Contentstack to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpContentstack + Mastra AI FAQ
Common questions about integrating Contentstack 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 Contentstack 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 Contentstack to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.