Hygraph (Headless CMS) MCP. Control your entire content backend via conversation.
Hygraph (Headless CMS) MCP connects your AI agent directly to your entire content backend. You can inspect schemas, run complex queries, publish drafts, or wipe out old documents—all through natural conversation. It gives you full control over federated content and structured data without ever leaving your chat client.
Give Claude and any AI agent real-world access
The MCP lets your agent automatically list all content models and inspect the specific fields they contain.
You can run complex queries to fetch related data, like getting details for the last three published blog posts.
The agent handles creating new content drafts or safely mutating existing documents with specific field values.
You can get a list of attached media files, retrieving the necessary cloud URLs for your frontend code.
The MCP allows you to move content from a draft state directly to published status.
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What AI agents can do with Hygraph (Headless CMS) with 10 Tools
Use these tools to manage everything from querying structured data and inspecting model fields to publishing live content directly through your AI agent.
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 Hygraph (Headless CMS) MCPCreate Cms Document
Automates the creation of a new dynamic model instance.
Wipe Cms Document
Irreversibly deletes specified content arrays, leaving clean states.
List Project Locales
Identifies active translation spaces across your project's different languages.
Get Model Fields
Inspects the specific internal fields available within a given content model.
List Schema Introspection
Determines and lists all content models that your entire project hosts.
List Media Assets
Lists all attached media files, providing structured rules about media limits.
Publish Cms Document
Performs the process of promoting content properties to a live, published state.
Execute Graphql Mutation
Sends a structured payload that executes direct data writes to your schema.
Execute Graphql Query
Runs pure GraphQL queries to fetch specific, bounded routing data from Hygraph.
Update Cms Document
Changes global web content boundary values for a document, safely updating drafts.
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.
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
Make Your AI Do More
Start with Hygraph (Headless CMS), 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
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The mess of content management APIs today.
Right now, managing a headless CMS means jumping between dozens of tabs. You write a query in one place, check the schema definitions in another, and then if you want to publish it, you have to manually hit a separate endpoint with specific headers and body payloads. It's a frustrating cycle of copy-pasting identifiers and debugging boilerplate code.
With this MCP, that entire process vanishes. You tell your agent what data structure or content state you need—whether it’s listing all available media assets using list_media_assets, or figuring out the full scope of model fields with get_model_fields. The agent handles the complex API calls and gives you a clean answer.
Using Hygraph (Headless CMS) MCP for Content Schema Operations
You no longer need to manually run schema introspection queries just to remember what fields exist on the 'Product' model. You simply ask your agent, and it uses list_schema_introspection to give you a clear map of every content type available in your project.
It’s direct. The complexity is hidden behind natural conversation. It lets you manage structured data as if you were talking to an intelligent teammate who already knows the CMS structure inside out.
What Hygraph (Headless CMS) MCP does for your AI
This MCP lets you treat your headless CMS like a database you talk to. Instead of writing specific GraphQL endpoints or hitting REST URLs, you simply ask your AI agent what you need done with your content models. You can discover all the available fields just by asking about a model's structure, then run complex queries that pull out exactly the data points you want—like titles and slugs from published posts.
Need to update a draft? Tell it which document ID needs changing, or instruct it to promote existing drafts to live content. If you're managing multiple international versions of content, you can audit all your locales in one go. Because this MCP lives on Vinkius, you connect once across any compatible client and instantly get access to Hygraph's entire suite of tools.
019d75b5-b78b-7247-a18e-509aae5ca0df How to set up Hygraph (Headless CMS) MCP
The bottom line is that you interact with your entire headless CMS using natural language commands instead of manual API calls.
Subscribe to this MCP, providing your Hygraph API Endpoint and Auth Token.
Your AI client uses the provided credentials to connect to the CMS backend via a secure tunnel.
You talk naturally to your agent, telling it exactly what content action you need—like 'get me all product slugs' or 'publish draft post 123'.
Who uses Hygraph (Headless CMS) MCP
This is for the developer who hates switching context between their IDE, the GraphQL playground, and the actual content management dashboard. It's for anyone whose job involves reading data models or updating structured content regularly.
Testing complex queries and inspecting content models directly within your chat environment without opening a separate Hygraph playground.
Auditing the entire schema definition across multiple content types to verify field configurations and ensure data consistency.
Quickly publishing draft content or updating specific fields on published documents by simply commanding their AI agent.
Benefits of connecting Hygraph (Headless CMS) MCP
Stop context switching. You can check model schemas, run complex queries, and update documents—all in one chat window with your agent.
Maintain data cleanliness by using the 'wipe_cms_document' tool to irreversibly delete nodes when you need a completely clean content repository.
Manage localization complexity easily. Use list_project_locales to audit all translation spaces, ensuring your internationalized content is mapped correctly before publishing.
Speed up development cycles by letting your agent run 'execute_graphql_query' to pull data points like titles and slugs without needing a custom API call every time.
Control the entire content lifecycle. You can publish drafts using 'publish_cms_document', moving content from draft status directly to live visibility.
Hygraph (Headless CMS) MCP use cases
Getting metadata for a new feature launch
The developer needs all product slugs and titles for the next marketing campaign. They prompt their agent: 'Give me the title and slug of every published blog post.' The agent automatically runs an execute_graphql_query, returning a clean list that can be copied directly into code.
Verifying content model changes
The architect needs to know if a new field was added to the 'Product' model. They ask their agent to run a schema introspection tool, which immediately lists all available fields and confirms the structure without logging into the Hygraph console.
Fixing an old draft post
The editor realizes that Draft ID 45 needs its cover image updated and published. Instead of navigating three different screens, they command their agent to use update_cms_document, providing the new asset handle and triggering a live status change.
Auditing multilingual content
The team lead needs to know which locales have been mapped for French translation. They simply ask the MCP to list all project locales, getting an immediate report via list_project_locales, saving hours of manual checking.
Hygraph (Headless CMS) MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Using the CMS API directly
The user has to write boilerplate GraphQL mutations and manage authentication tokens in their IDE's terminal. They have to manually track which fields are available before writing any query.
Just talk to your agent. Ask it to run 'list_schema_introspection' first. Then, ask for the data using 'execute_graphql_query'. The MCP handles the complex connection details and payload construction.
Using a generic database connector
The agent pulls back raw JSON objects that require manual filtering to find usable content slugs or specific document IDs. The output is messy, requiring heavy post-processing.
Use the specialized Hygraph tools. For instance, asking for 'title and slug' ensures the query structure only returns those two needed fields via execute_graphql_query.
Manual content publishing
The editor finds a draft post, clicks through multiple status tabs, updates the dates, and finally hits 'Publish.' This process is slow and prone to human error.
Simply tell your agent to perform a structural extraction of properties for an explicit live shift. The publish_cms_document tool handles the entire state change in one step.
When to use Hygraph (Headless CMS) MCP
You should use this MCP if your job requires you to interact with structured, federated content—meaning you need to read data from models that are related to each other, or modify those models programmatically. This is ideal for developers writing integration code, architects verifying schemas, or editors managing publication workflows.
However, don't use this if your goal is simply to store unstructured text (like a blog post body) without worrying about its associated metadata (slugs, authors, dates). If you just need simple storage, look at a plain document repository. You should also avoid using it if your content source isn't built on Hygraph or doesn't expose GraphQL endpoints; this MCP is strictly for that platform.
If you are stuck writing repetitive queries, use 'execute_graphql_query'. If you need to change the data itself, use 'update_cms_document'.
Frequently asked questions about Hygraph (Headless CMS) MCP
Can Hygraph (Headless CMS) MCP query content models? +
Yes, absolutely. You can use execute_graphql_query to fetch specific data points from any model, such as titles or slugs, and you can even run complex nested queries.
How do I list all my language locales with Hygraph (Headless CMS) MCP? +
You use the 'list_project_locales' tool. This command immediately identifies every active translation space configured in your project, which is useful for localization audits.
Can I update a document using Hygraph (Headless CMS) MCP? +
Yes, you can use the 'update_cms_document' tool to safely change data within existing documents. This lets you mutate draft values without needing manual API calls.
What if I want to delete content permanently with Hygraph (Headless CMS) MCP? +
You can use the 'wipe_cms_document' tool for irreversible deletion of content arrays, ensuring that specific nodes are completely removed from your repository.
Does this MCP help me discover my project schema? +
Yes. You can run list_schema_introspection to automatically determine every content model the project hosts, giving you a full overview of your data architecture.