Kontent.ai 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 Kontent.ai 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: {
"kontentai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Kontent.ai Agent",
instructions:
"You help users interact with Kontent.ai " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Kontent.ai?"
);
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 Kontent.ai MCP Server
Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.
Mastra's agent abstraction provides a clean separation between LLM logic and Kontent.ai 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.
Key Features
- Content Item Retrieval — Fetch the full modular content of any item by its codename
- Schema Auditing — List and examine content types to understand your project's data model
- Taxonomy Access — Query taxonomy groups and terms for content categorization
- Asset Discovery — Locate images and files stored in your content library
- Smart Search — Perform filtered searches across your entire delivery repository
Simple Setup
1. Subscribe to this server
2. Get your Project ID from Kontent.ai (Project Settings > API keys)
3. (Optional) Enter your Delivery API Key if Secure Access is enabled
4. Start querying your content via natural language
The Kontent.ai 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 Kontent.ai to Mastra AI via MCP
Follow these steps to integrate the Kontent.ai 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 Kontent.ai via MCP
Why Use Mastra AI with the Kontent.ai MCP Server
Mastra AI provides unique advantages when paired with Kontent.ai through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Kontent.ai 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 Kontent.ai 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
Kontent.ai + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Kontent.ai MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Kontent.ai, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Kontent.ai as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Kontent.ai on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Kontent.ai tools alongside other MCP servers
Kontent.ai MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Kontent.ai to Mastra AI via MCP:
get_content_item
Get a specific content item by codename
get_content_type
Get details for a content type
get_content_type_element
g., options for a multiple choice element). Get metadata for a specific element in a type
get_taxonomy_group
Get details for a taxonomy group
list_content_assets
ai. Query assets from the content library
list_content_items
Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai
list_content_types
List all content types (schemas)
list_project_languages
List supported languages
list_taxonomies
List taxonomy groups
search_kontent_ai
Search for content using query parameters
Example Prompts for Kontent.ai in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Kontent.ai immediately.
"List the last 10 content items in Kontent.ai"
"Show the schema for content type 'article'"
"Search for items related to 'Winter Sale'"
Troubleshooting Kontent.ai MCP Server with Mastra AI
Common issues when connecting Kontent.ai to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKontent.ai + Mastra AI FAQ
Common questions about integrating Kontent.ai 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 Kontent.ai 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 Kontent.ai to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.