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Strapi MCP. Manage CMS data, media assets, and content types via your agent.

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Just plug in your AI agents and start using Vinkius.

Strapi MCP Server connects your agent directly to a headless CMS backend. It lets you manage content types, create entries, update fields, and handle media assets programmatically—no UI clicks required.

You can audit users and list all available schemas using structured tool calls.

What your AI agents can do

Create entry

Builds and saves a brand new content entry under a specified collection type, provided the necessary fields are included in JSON format.

Delete entry

Permanently removes a single content entry. Note: this action cannot be reversed.

Get entry details

Retrieves the full, current details for one specific content entry based on its ID.

+ 6 more capabilities included
Discover Content Schemas

Use list_content_types to see every collection and single type defined in the Strapi backend.

Manage Article Records

Create, retrieve, or modify structured content entries using tools like create_entry, get_entry_details, and update_entry.

Handle Media Assets

List existing files with list_assets or upload new dependencies from a remote URL using upload_media_asset.

Bulk Content Retrieval

Fetch all entries for a specific content type, paginating results automatically via list_entries.

Audit System Users

Retrieve a list of every registered CMS user account using list_cms_users.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Strapi MCP Server: 9 Tools for Headless CMS Control

Use these nine tools to programmatically interact with every aspect of your Strapi backend—from listing content schemas to updating individual entries and managing media files.

create019d760d

create entry

Builds and saves a brand new content entry under a specified collection type, provided the necessary fields are included in JSON format.

delete019d760d

delete entry

Permanently removes a single content entry. Note: this action cannot be reversed.

get019d760d

get entry details

Retrieves the full, current details for one specific content entry based on its ID.

list019d760d

list assets

Lists every media file asset stored within the Strapi Media Library.

list019d760d

list cms users

Outputs a list of all user accounts that have been registered in the CMS system.

list019d760d

list content types

Lists every available content type (both collections and single types) defined in your Strapi instance.

list019d760d

list entries

Retrieves a paginated list of entries for an entire content type, requiring the plural ID as input.

update019d760d

update entry

Modifies specific fields on an existing content entry. You must provide the collection ID and the target entry ID.

upload019d760d

upload media asset

Takes a public file URL and uploads that remote dependency as a new, managed asset in the Media Library.

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.

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Start with Strapi, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

The Strapi MCP Server connects your agent straight to a headless CMS backend. You don't click buttons here; you tell your agent what needs doing—like generating an article or pulling product data—and it executes the necessary API operations against your content system. This lets you treat the whole CMS like pure code, perfect for technical writers and engineers who wanna run full CRUD operations right from their IDE or terminal.

To start, your agent can first figure out what's available using list_content_types. It pulls up every collection and single type defined in your Strapi instance, so you always know the exact schemas you're working with. You can also audit who has access by calling list_cms_users, which outputs a list of all user accounts registered in the CMS system.

When it comes to content itself, managing records is straightforward. To build and save a brand new piece of content, your agent uses create_entry. Just feed it the necessary fields formatted as JSON, and it builds that entry under the specific collection type you specify. If you need to check what's already there, get_entry_details retrieves all the current details for one single content entry; you just gotta give it the ID.

And if that entry needs tweaking, update_entry modifies specific fields on an existing record; remember, you gotta provide both the collection ID and the target entry ID to make that happen.

Need to pull a whole bunch of data? You can't just look at one thing. Use list_entries to grab a paginated list of entries for an entire content type. It automatically handles pagination, so you don't have to write loops—you just get all the results for that collection. And if something is totally busted and needs to disappear forever, your agent runs delete_entry, which permanently removes a single content entry; keep in mind, you can't undo that one.

Handling media assets works the same way. To see every file stored up in the Strapi Media Library, call list_assets. If you gotta bring in new visual dependencies, your agent uses upload_media_asset. You just give it a public file URL, and it uploads that remote dependency as a brand-new, managed asset in your library.

This keeps all your media tracked centrally.

This whole setup means you can manage content types, handle media assets, get details on articles, create new entries, update existing ones, delete records, and list users—all without ever touching the web interface. You've got complete programmatic control over your CMS backend.

How Strapi MCP Works

  1. 1 First, define the Strapi MCP as an active integration in your environment. You'll need to supply your deployed STRAPI_BASE_URL and a verified STRAPI_API_KEY.
  2. 2 Next, you state your objective—for example: "Find all articles posted last month and update their featured image.".
  3. 3 Your agent interprets this request and calls the specific tools (list_entries, then update_entry, etc.) in sequence until the task is complete.

The bottom line is, it turns your Strapi CMS into a predictable set of API endpoints that your AI client can call on demand.

Who Is Strapi MCP For?

This server targets people who live in the gap between development and content creation. It's for the backend architect who needs to validate complex JSON payloads without leaving their IDE, or the technical marketer who has hundreds of drafts that need structured updates across multiple collections.

Backend Architect

Validates content structure configurations and builds sample JSON payloads instantly by calling list_content_types against live schemas.

Technical Content Manager

Runs bulk updates, like changing the metadata or status of dozens of articles, using update_entry without going into the CMS admin panel.

DevOps Engineer

Automates auditing tasks by listing registered users (list_cms_users) or checking for orphaned media assets.

What Changes When You Connect

  • Write new drafts or update old ones instantly. Calling create_entry lets you populate an entire article structure with a single prompt, bypassing the manual form process entirely.
  • Never lose track of files again. You can list every asset using list_assets and then push a new image into the system using upload_media_asset, all in one flow.
  • Validate your schema before writing code. Running list_content_types shows you exactly what fields exist in 'products' or 'authors', eliminating guesswork when calling tools like get_entry_details.
  • Scale content updates easily. Instead of updating product data manually, the agent uses update_entry to modify hundreds of records based on a centralized set of rules.
  • Maintain system security visibility. Use list_cms_users to audit who has access and ensure that only authorized accounts can make changes via your AI client.

Real-World Use Cases

01

Bulk Updating Product Inventory

The inventory team needs to change the SKU for 50 product listings. They tell their agent: "For all entries in the 'product' type, update the sku_code field using this CSV data." The agent runs a loop calling list_entries, then executes update_entry for every record, completing the task without manual intervention.

02

New Article Draft Generation

A marketing writer has research notes and needs to create a new blog post. They ask their agent: "Draft an article about X in the 'articles' type." The agent uses create_entry, formatting all JSON parameters (title, body, tags) correctly based on the input.

03

Media Workflow Integration

A designer finishes a new banner image online and needs it in the CMS. They prompt: "Take this remote URL and upload it as an asset.". The agent calls upload_media_asset using the public URL, making the file instantly available for linking via update_entry.

04

System Access Audit

The security lead needs a list of all users who have admin access. They prompt: "Show me all active CMS user accounts." The agent runs list_cms_users, providing the required audit data immediately.

The Tradeoffs

Assuming an entry exists

Trying to run update_entry on a record ID when you only know the content type name. The API fails because it can't find the specific instance.

Before updating, always verify existence and grab the correct ID first. Use get_entry_details or list_entries to confirm the target entry exists before calling update_entry.

Overwriting entire schemas

Trying to update a complex JSON field by just sending a simple string. The tool might fail because it expects structured data for all related fields.

Check the structure first using list_content_types. When updating, ensure your JSON payload includes all required fields—even if they aren't changing—to prevent accidental nulling.

Mixing listing and retrieval

Attempting to get details for a single item using list_entries. The function requires the full content type plural ID, not just a search term.

If you need all data, use list_entries with the correct plural ID. If you know the exact ID, use get_entry_details.

When It Fits, When It Doesn't

Use this server if your workflow requires full content lifecycle management—meaning you need to read, write, modify, and audit structured data within a headless CMS environment. You're managing schemas, not just reading text files.

Don't use it if your needs are simpler: If you only need to read public-facing article titles and nothing else, using an API client that just calls list_entries is enough. But if you need the agent to write a new draft or upload a media asset, this full toolset is necessary.

It's especially good for complex tasks: If your job involves first listing content types (list_content_types), then getting details on one type (get_entry_details), and finally updating another type with an asset (upload_media_asset + update_entry)—this is the only way to chain those operations reliably.

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.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_entry delete_entry get_entry_details list_assets list_cms_users list_content_types list_entries update_entry upload_media_asset

Manually managing content means clicking through dozens of tabs.

Today, updating a product listing requires opening the CMS, navigating to 'Products,' finding the right entry, and then manually changing the SKU field, uploading a new image into the Media Library, and ensuring all associated metadata is correct. It's tedious, slow, and you always risk missing one step.

With this MCP server, you tell your agent: "Update product 456 with this new image and change its price.". The agent handles the sequence: it first finds the media URL, uses `upload_media_asset` to secure the file, then calls `update_entry`, pushing all changes—text and assets—in one atomic operation.

Strapi MCP Server: Structured Content & Media Orchestration

The biggest time sink is the asset workflow. You have a remote image, but you can't just link it; it needs to be officially managed and versioned within the CMS first. This means manually fetching the URL, uploading it, and then getting its new internal ID.

Now, your agent handles that entire chain. It runs `upload_media_asset`, gets the secure asset ID back, and uses that ID immediately in the next tool call to `update_entry`. The whole process is automated, verifiable, and takes seconds.

Common Questions About Strapi MCP

How do I see all available content types using list_content_types? +

You run list_content_types to get a definitive manifest of every collection and single type in your Strapi instance. This is the first step for any architect validating schemas.

What's the difference between list_entries and get_entry_details? +

list_entries gives you a paginated overview of many records for an entire content type. Use get_entry_details when you know the exact ID and only need information on that single record.

Can I upload an image using upload_media_asset? +

Yes, it takes a public file URL (like from S3 or Dropbox) and imports that asset directly into your Strapi Media Library. This makes the file managed by the CMS.

How do I update an entry without knowing its ID? +

You can't. You must first use list_entries to pull a list of records for that content type, and then extract the specific entry ID you need before calling update_entry.

If I need to audit who has access, how do I use the `list_cms_users` tool? +

It lists all registered CMS users defined in Strapi. This is crucial for security checks; it shows usernames and associated roles so you can verify authorized members without navigating the admin panel.

When is it safe to execute the irreversible action of `delete_entry`? +

Use this tool only when you are absolutely certain about the content's removal. Since the action is permanent, always run a backup or verify the entry ID multiple times before allowing your agent to proceed.

Before calling `create_entry`, how can my AI client validate the required structure and JSON payload? +

You must provide the plural content type ID and a valid JSON string. The tool will fail if data types mismatch or if mandatory fields are missing, so test your payload with dummy entries first.

What is the difference between using `list_assets` versus listing content entries? +

list_assets shows every single media file uploaded to the Media Library. Content entries only show where assets are embedded in specific records, so use list_assets for a complete inventory of all visuals.

How does the AI know the correct JSON format for new entries? +

The agent calls list_content_types first to read each collection's field names and types. It then builds a compliant JSON payload matching the schema before calling create_entry.

Can the agent delete content types or schemas? +

No. delete_entry only removes individual data rows within a collection. It cannot alter, drop, or modify content type schemas or structural CMS settings.

Can I upload media files through the integration? +

Yes. Use upload_media_asset to add images, videos, or documents to the Strapi Media Library. You can also browse existing assets with list_assets.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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