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Vinkius

Strapi 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 Strapi through the 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: {
      "strapi": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
Strapi
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 Strapi MCP Server

Integrate the robust headless architecture of Strapi seamlessly into your conversational LLM workflows. By linking your AI securely to the Strapi REST ecosystem, engineering and content teams can effortlessly design schema types, interact with entries, and orchestrate media libraries directly from the terminal.

Mastra's agent abstraction provides a clean separation between LLM logic and Strapi tool infrastructure. Connect 9 tools through the 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

  • Architecture Discovery — Quickly evaluate top-level content structures invoking list_content_types and systematically paginate underlying rows executing list_entries.
  • Content Construction — Drive agile content updates creating new JSON-formatted parameters natively by calling create_entry or updating existing rows via update_entry.
  • Asset Orchestration — Monitor uploaded visual data traversing the Media Library securely with list_assets or uploading remote dependencies instantly using upload_media_asset.
  • Audit & Clearance — Protect production integrity by securely tracking and listing authorized active members leveraging list_cms_users.

The Strapi 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 Strapi to Mastra AI via MCP

Follow these steps to integrate the Strapi 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 Strapi via MCP

Why Use Mastra AI with the Strapi MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Strapi 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 Strapi 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

Strapi + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Strapi 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 Strapi on a cron and store results in your database automatically

04

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

Strapi MCP Tools for Mastra AI (9)

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

01

create_entry

Provide the plural ID and a JSON string of fields. Creates a new entry for a specific content type

02

delete_entry

This action is irreversible. Permanently deletes a content entry

03

get_entry_details

Retrieves details for a specific content entry

04

list_assets

Lists media assets stored in the Strapi Media Library

05

list_cms_users

Lists all registered CMS users

06

list_content_types

Lists all content types (collections and single types) defined in Strapi

07

list_entries

Provide the plural ID of the content type (e.g., "articles"). Lists entries for a specific content type

08

update_entry

Provide the plural ID, entry ID, and field updates. Updates fields of an existing content entry

09

upload_media_asset

Provide the public file URL to be fetched and uploaded. Uploads a new file to the Media Library

Example Prompts for Strapi in Mastra AI

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

01

"Review my Strapi content types and show the schema for 'product'."

02

"Construct a newly formatted post about system updates in the 'articles' content type."

03

"Upload a new promotional image dependency securely into the Media Library."

Troubleshooting Strapi MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Strapi + Mastra AI FAQ

Common questions about integrating Strapi 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 Strapi to Mastra AI

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