Contentstack 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 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-1": {
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 10 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
Connect your Contentstack account to any AI agent and take full control of your agentic experience platform and headless CMS through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Contentstack 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
- Entry Orchestration — List and retrieve document rows bound to specific content types and create new drafts using purely formatted JSON attributes
- Content Mutation — Safely update existing entries by overwriting schema blocks and substituting draft values through the Management API
- Live Publishing — Trigger the exact publication sequence to push CMS data to specific environments (e.g., development, production, staging)
- Schema Inspection — Enumerate global schemas and decode native boundaries to identify exactly what fields and validation rules the database expects
- Media Management — Access global files and retrieve explicit media metadata, including original Contentstack URLs, to mitigate manual CDN scraping
- Repository Cleanup — Irreversibly remove app nodes and delete live document rows to manage internal database allocations and clear quotas
The Contentstack 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 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 10 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 (10)
These 10 tools become available when you connect Contentstack to Mastra AI via MCP:
create_cms_entry
Provision a highly-available JSON Payload generating new Contentstack Drafts
get_media_asset
Retrieve the exact structural matching verifying explicit Media IDs
get_schema_details
Perform structural extraction of properties driving active Fields
get_single_entry
Retrieve explicit Cloud logging tracing explicit Entry UUIDs limitlessly
list_global_schemas
Enumerate explicitly attached structured rules exporting active Types
list_media_assets
Inspect deep internal arrays mitigating specific Picture limits
list_type_entries
Identify bounded routing spaces inside the Headless Contentstack CMS schemas
publish_to_environment
g., development, production). Dispatch an automated validation check routing CMS Data Live
update_cms_entry
Mutate global Web CRM boundaries substituting Draft values safely
wipe_cms_entry
Irreversibly vaporize explicit App nodes dropping live Document rows
Example Prompts for Contentstack in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Contentstack immediately.
"List all entries for content type 'homepage'"
"Publish entry 'entry_456' of type 'blog_post' to production"
"Show me the details for content model 'product_schema'"
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 10 tools in under 2 minutes. No API key management needed.