Hygraph (Headless CMS) MCP Server
Manage headless content via Hygraph — execute GraphQL queries, introspect schemas, and manage documents.
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What is the Hygraph MCP Server?
The Hygraph MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Hygraph via 10 tools. Manage headless content via Hygraph — execute GraphQL queries, introspect schemas, and manage documents. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Hygraph
Ask your AI agent "List all content models in my project" and get the answer without opening a single dashboard. With 10 tools connected to real Hygraph 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
…and any MCP-compatible client
Hygraph (Headless CMS) MCP Server capabilities
10 toolsDispatch an automated validation check routing Dynamic Model creation
Provision a highly-available JSON Payload resolving direct Schema writes
Identify bounded routing spaces inside the Headless Hygraph limits using pure GraphQL
Inspect deep internal arrays mitigating specific Content configurations
Enumerate explicitly attached structured rules defining Media limits
Identify precise active arrays spanning Translation spaces
types` executing an introspection determining automatically which Models the Project hosts. Retrieve explicit Cloud logging tracing Model names
Perform structural extraction of properties driving an explicit Live shift
Mutate global Web CRM boundaries substituting Draft values safely
Irreversibly vaporize explicit Content arrays returning clean states
What the Hygraph (Headless CMS) MCP Server unlocks
Connect your Hygraph project to any AI agent and take full control of your federated content and headless CMS architecture through natural conversation.
What you can do
- GraphQL Orchestration — Execute complex nested queries and mutations directly from your agent to fetch or update structured content without manual REST endpoints
- Schema Introspection — Discover content models and list available fields to understand your project's data structure and scalar parameters automatically
- Document Lifecycle — Create, update, and publish CMS documents, moving content from Draft to Published stages with precise ID targeting
- Media Management — Enumerate media assets and retrieve secure handles and cloud URLs required for frontend delivery and display
- Localization Audit — List project locales and translation spaces to identify which content stages are mapped to specific internationalization rules
- Cleanup Operations — Irreversibly delete specific content nodes and documents to maintain a clean and optimized content repository
How it works
1. Subscribe to this server
2. Enter your Hygraph API Endpoint and Auth Token
3. Start managing your content architecture from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Frontend Developers — test GraphQL queries and introspect content models without leaving your IDE or opening the Hygraph Playground
- Content Architects — audit schema definitions and verify field configurations across multiple content models through natural conversation
- Digital Editors — create and publish draft content quickly by commanding your AI agent to update specific document fields
Frequently asked questions about the Hygraph (Headless CMS) MCP Server
Can I test complex GraphQL queries through my agent?
Yes. Use the execute_graphql_query tool to run any valid GraphQL query block. Your agent will return the nested document results, making it an ideal way to verify content fetching without using the Hygraph Playground.
How do I publish a draft document using my agent?
The publish_cms_document tool allows your agent to shift a document's stage from DRAFT to PUBLISHED. You just need to provide the Model Name and the Target UUID to make the content live on your frontend.
Can I see all available fields for a specific content model?
Absolutely. Use the get_model_fields tool with the name of your Model (e.g., 'Post' or 'Product'). Your agent will perform a schema introspection and list all fields, types, and scalar parameters defined in that model.
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Connect Hygraph (Headless CMS) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Hygraph MCP Server
Production-grade Hygraph (Headless CMS) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.