Strapi MCP Server
Connect your AI to Strapi. Fully orchestrate your headless CMS — create entries, manage content types, and upload media assets naturally.
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What is the Strapi MCP Server?
The Strapi MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Strapi via 9 tools. Connect your AI to Strapi. Fully orchestrate your headless CMS — create entries, manage content types, and upload media assets naturally. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (9)
Tools for your AI Agents to operate Strapi
Ask your AI agent "Review my Strapi content types and show the schema for 'product'." and get the answer without opening a single dashboard. With 9 tools connected to real Strapi data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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Strapi MCP Server capabilities
9 toolsProvide the plural ID and a JSON string of fields. Creates a new entry for a specific content type
This action is irreversible. Permanently deletes a content entry
Retrieves details for a specific content entry
Lists media assets stored in the Strapi Media Library
Lists all registered CMS users
Lists all content types (collections and single types) defined in Strapi
Provide the plural ID of the content type (e.g., "articles"). Lists entries for a specific content type
Provide the plural ID, entry ID, and field updates. Updates fields of an existing content entry
Provide the public file URL to be fetched and uploaded. Uploads a new file to the Media Library
What the Strapi MCP Server unlocks
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.
What you can do
- Architecture Discovery — Quickly evaluate top-level content structures invoking
list_content_typesand systematically paginate underlying rows executinglist_entries. - Content Construction — Drive agile content updates creating new JSON-formatted parameters natively by calling
create_entryor updating existing rows viaupdate_entry. - Asset Orchestration — Monitor uploaded visual data traversing the Media Library securely with
list_assetsor uploading remote dependencies instantly usingupload_media_asset. - Audit & Clearance — Protect production integrity by securely tracking and listing authorized active members leveraging
list_cms_users.
How it works
1. Define the Strapi MCP as an active integration inside your configuration environment.
2. In the parameter matrix, bind your deployed STRAPI_BASE_URL alongside a verified STRAPI_API_KEY created via your admin panel.
3. State your objective: "Fetch the properties of my 'articles' content type, and construct a newly formatted post containing the latest system update metrics."
Who is this for?
- Backend Architects — Validate structure configurations and JSON payloads instantly across components without context-switching into the Strapi interface.
- Technical Marketers — Manage and formulate textual entries programmatically, scaling updates securely across the platform instantly.
- Development Operations — Automate tedious metadata adjustments and audit structural dependencies rapidly within safe, isolated loops.
Frequently asked questions about the Strapi MCP Server
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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Give your AI agents the power of Strapi MCP Server
Production-grade Strapi MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






