Strapi MCP. Manage content types and assets via conversation.

Q: How do I view all the available data models using Strapi MCP?

You run listcontenttypes. This immediately gives you a comprehensive list of every collection and single type defined in your CMS, helping you map out your entire data architecture.

Q: Can I update multiple entries at once using Strapi MCP?

Yes. After listing the content types with listcontenttypes, you can use listentries to gather IDs, and then command the agent to run updateentry across all necessary records.

Q: What is the difference between listassets and uploadmediaasset in Strapi MCP?

Use listassets when you need to see what images are already stored on the platform. Use uploadmediaasset when you have an external image URL that needs to be fetched and added to your media library.

Q: Is deleting content irreversible with Strapi MCP?

Yes, deleteentry is designed as a permanent action. The system explicitly warns that this action cannot be undone, so proceed carefully.

Q: Can I check who has access to the CMS using Strapi MCP?

You use the listcmsusers tool. This function pulls a list of all registered users in your CMS environment for auditing and security checks.

Strapi MCP connects your AI agent directly to a headless CMS. You can programmatically read content type schemas, fetch existing data entries, create new structured content posts, update records, and upload media assets—all through conversation.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Give Claude and any AI agent real-world access

View Content Schemas

See every top-level content type and its specific fields defined across your CMS.

Browse Existing Data

Retrieve lists of entries for any specified content type, allowing you to audit or analyze current records.

Read Specific Content Details

Get the full details and metadata for a single, specific piece of content using its unique ID.

Build and Save New Entries

Generate structured JSON payloads to create brand new records across various content types.

Modify Existing Content

Update specific fields of a content entry without having to delete and recreate the entire record.

Manage Media Assets

List existing media files in the library or upload new external images for use in your entries.

Ask an AI about this

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AI Agent

What AI agents can do with Strapi MCP: 9 Tools for CMS Management

Use these tools to read schemas, list content, retrieve specific data, create new records, modify existing ones, and manage all your media assets programmatically.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Strapi MCP

Create Entry

Creates a new content entry for a specific type using JSON field parameters.

Delete Entry

Permanently and irreversibly removes an existing content entry from the system.

Get Entry Details

Retrieves all stored field details for a specific, known content entry ID.

List Assets

Generates a list of every media asset currently stored in the Strapi Media Library.

List Content Types

Outputs a complete roster of all content types available (collections and single...

List Entries

Lists multiple entries belonging to a specified content type.

List Cms Users

Provides a list of all currently registered users within the CMS system for auditing purposes.

Update Entry

Changes specific fields on an existing content entry using its IDs and new data...

Upload Media Asset

Takes a public file URL, fetches the image, and uploads it to the Media Library.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Strapi integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "strapi": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Strapi tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"strapi": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on each call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Strapi, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,200+ others, all in one place
Add new capabilities to your AI anytime you want
Connections are secured and governed automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog weekly

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Strapi. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The Headache of Context Switching

Today, managing structured content means jumping between tabs. You start in the CMS dashboard to check a schema definition, then switch to your code editor to write JSON payloads, and finally open a spreadsheet just to audit user IDs. It's constant copy-pasting and switching gears.

With this MCP, you keep everything inside your agent chat. You tell it: 'What are my content types?' The response is immediate structure data. Then you say: 'Now create an article with these parameters.' The entire cycle—discovery, drafting, and saving—happens in one continuous conversation.

Strapi MCP Gives You Programmatic Control Over Your Content

You no longer need to manually check if a new article has the correct metadata or if an image asset is linked properly. The agent handles that validation automatically when you ask it to `get_entry_details` or when you run `list_assets`.

Your AI client acts like an API client, giving you precise control over your content lifecycle. You're not just drafting text; you're executing database actions.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

open-source-cms

api-development

schema-design

media-orchestration

rest-api

content-types

What Strapi MCP does for your AI

This connector lets you treat Strapi like an exposed API endpoint inside your conversational workflow. Instead of navigating admin dashboards or writing boilerplate code, you tell your agent what needs to happen with your site's content. It reads the structure of your entire CMS, letting you see every available field and collection type instantly.

You can then ask it to draft a new article by generating all necessary JSON parameters, or update pricing data across multiple product entries without leaving your chat window. If you’re building complex systems that rely on accurate content management, connecting via Vinkius makes Strapi's entire ecosystem accessible from one place, letting you manage everything from initial schema discovery to final asset deployment.

Built · Hosted · Managed by Vinkius Strapi-MCP - Manage Content & Media Assets

Server ID 019d760d-d7f5-7391-adda-1b7bdc9b9a6e

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Benefits of connecting Strapi MCP

Schema Discovery: Use list_content_types to instantly map out your entire CMS structure. You get a full picture of available data models without opening any developer console.

Content Creation at Scale: Instead of manual form filling, you tell the agent to construct content using create_entry, generating complex JSON payloads and saving them immediately.

Media Management: Seamlessly handle visuals by running list_assets or feeding external dependencies into the system via upload_media_asset. Your assets are always available for linking.

Data Integrity: Protect your live site using list_cms_users to audit who has access. This ensures you only work with authorized accounts when making changes.

Efficient Updates: Don't rewrite entire posts; use update_entry to precisely target and modify specific fields, saving time and minimizing the chance of errors.

Strapi MCP use cases

01 01

The Global Content Audit

A technical marketer needs to check if all 'article' types have a proper author assigned. They ask their agent to run list_entries for articles, and the agent returns a list of IDs, allowing them to programmatically verify missing metadata fields.

02 02

Fixing Broken Product Pages

A developer discovers that several 'product' listings are missing their current inventory count. They use get_entry_details on a sample item and then instruct the agent to update all necessary entries via update_entry.

03 03

Adding New Visual Content

A marketing team gets new banner images from an external source. Instead of manually uploading them, they ask the agent to upload_media_asset, which securely pulls the image and makes it available for use in posts.

04 04

Schema Validation Check

A backend architect wants to ensure a new feature field is correctly implemented. They first run list_content_types to confirm the structure, then request that the agent validate the payload using create_entry before committing any changes.

Strapi MCP tradeoffs

What to watch out for, and the recommended way to handle each one.

Trying to bypass data retrieval

Avoid

Asking the AI to 'just look at the database' without specifying which content type or collection. This leads to vague, unformatted results.

Instead

Always start by listing available types using list_content_types to define your scope. Then, use list_entries and specify the plural ID you want to analyze.

Manually updating every record

Avoid

When 50 products need a price increase, manually finding each entry in the CMS admin dashboard and changing the field one by one.

Instead

Use list_entries to gather all product IDs, then issue a single command for the agent to run update_entry across the entire batch of records.

Assuming file access

Avoid

Telling the AI to 'use this picture' without providing a source URL. The process stops because the system can’t fetch the external data.

Instead

Always provide a public file URL and ask the agent to run upload_media_asset. This fetches the dependency and makes it available in your library.

When to use Strapi MCP

Use this MCP if your workflow requires deep, structured interaction with a headless CMS's data layer. You need to read schema definitions (list_content_types), batch create records (create_entry), or programmatically update specific fields across many entries (update_entry). Don't use it if you simply want to view content in a human-readable dashboard format; for that, the native CMS interface is better. Instead, use this MCP when your goal is automation: validating structure, migrating data, or acting as an API wrapper through natural language commands.

Frequently asked questions about Strapi MCP

How do I view all the available data models using Strapi MCP? +

You run list_content_types. This immediately gives you a comprehensive list of every collection and single type defined in your CMS, helping you map out your entire data architecture.

Can I update multiple entries at once using Strapi MCP? +

Yes. After listing the content types with list_content_types, you can use list_entries to gather IDs, and then command the agent to run update_entry across all necessary records.

What is the difference between list_assets and upload_media_asset in Strapi MCP? +

Use list_assets when you need to see what images are already stored on the platform. Use upload_media_asset when you have an external image URL that needs to be fetched and added to your media library.

Is deleting content irreversible with Strapi MCP? +

Yes, delete_entry is designed as a permanent action. The system explicitly warns that this action cannot be undone, so proceed carefully.

Can I check who has access to the CMS using Strapi MCP? +

You use the list_cms_users tool. This function pulls a list of all registered users in your CMS environment for auditing and security checks.

Give Claude and any AI agent real-world access

What AI agents can do with Strapi MCP: 9 Tools for CMS Management

Create Entry

Creates a new content entry for a specific type using JSON field parameters.

Delete Entry

Permanently and irreversibly removes an existing content entry from the system.

Get Entry Details

Retrieves all stored field details for a specific, known content entry ID.

List Assets

Generates a list of every media asset currently stored in the Strapi Media Library.

List Content Types

Outputs a complete roster of all content types available (collections and single...

List Entries

Lists multiple entries belonging to a specified content type.

List Cms Users

Provides a list of all currently registered users within the CMS system for auditing purposes.

Update Entry

Changes specific fields on an existing content entry using its IDs and new data...

Upload Media Asset

Takes a public file URL, fetches the image, and uploads it to the Media Library.

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

The Headache of Context Switching

Strapi MCP Gives You Programmatic Control Over Your Content

open-source-cms

api-development

schema-design

media-orchestration

rest-api

content-types

What Strapi MCP does for your AI

How to set up Strapi MCP

Who uses Strapi MCP

Benefits of connecting Strapi MCP

Strapi MCP use cases

The Global Content Audit

Fixing Broken Product Pages

Adding New Visual Content

Schema Validation Check

Strapi MCP tradeoffs

Trying to bypass data retrieval

Manually updating every record

Assuming file access

When to use Strapi MCP

Frequently asked questions about Strapi MCP