DatoCMS MCP Server
Manage headless content via DatoCMS — execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent.
Ask AI about this MCP Server
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What is the DatoCMS MCP Server?
The DatoCMS MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to DatoCMS via 10 tools. Manage headless content via DatoCMS — execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent. 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 DatoCMS
Ask your AI agent "List all content models in DatoCMS" and get the answer without opening a single dashboard. With 10 tools connected to real DatoCMS 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
DatoCMS MCP Server capabilities
10 toolsProvision a highly-available JSON Payload generating new content Items
Identify bounded routing spaces inside the Headless DatoCMS GraphQL tree
Retrieve the exact structural matching verifying File blocks
Perform structural extraction of properties driving active Node details
Retrieve explicit Cloud logging tracing explicit JSON:API arrays
Enumerate explicitly attached structured rules exporting Item Types
Inspect deep internal arrays mitigating specific Image storage
Mutate global Web CRM boundaries substituting Item parameters safely
Irreversibly vaporize explicit App nodes dropping live Document rows
Dispatch an automated validation check routing explicit Disk removals
What the DatoCMS MCP Server unlocks
Connect your DatoCMS project to any AI agent and take full control of your headless CMS and digital experience platform through natural conversation.
What you can do
- GraphQL Discovery — Identify bounded routing spaces inside the DatoCMS GraphQL tree and extract delivery arrays targeting specific schemas
- Record Orchestration — List, retrieve, and create CMS records natively, enforcing JSON:API specifications and item_type validation rules
- Content Mutation — Safely update existing records by patching attribute blocks or irreversibly vaporize document nodes to clear internal database limits
- Media Oversight — Inspect deep internal arrays of uploaded assets, track Imgix proxy mappings, and verify physical storage identifiers securely
- Schema Auditing — Enumerate explicitly registered models and item types defining the structure of your content blocks and editor environments
- CDA/CMA Integration — Seamlessly switch between Content Delivery (CDA) for high-performance reading and Content Management (CMA) for structural edits
How it works
1. Subscribe to this server
2. Enter your DatoCMS Full Access API Token (found in Settings > API Tokens)
3. Start managing your headless content from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Content Editors — create and update entries or manage media assets without leaving the workspace
- Front-end Developers — test GraphQL queries and fetch content model definitions directly from the IDE or chat
- Product Teams — monitor content versioning and audit media libraries across different environments
- Digital Ops — manage CMS models and verify record consistency through natural language
Frequently asked questions about the DatoCMS MCP Server
Can my agent execute custom GraphQL queries against DatoCMS?
Yes. Use the 'execute_graphql_cda' tool. You can provide any valid GraphQL query string to fetch data from the Content Delivery API (CDA) tree, bypassing rigid limits and retrieving exactly what your agent needs.
How do I create a new content item using the agent?
Use the 'create_cms_record' tool. Provide the Item Type ID and a JSON object containing the attributes. The agent will orchestrate the absolute explicit bindings to generate a new record in your DatoCMS project.
Can I inspect the available content models through chat?
Absolutely. The 'list_global_models' tool enumerates all registered item types and models. This allows your agent to identify precisely what schemas bind to your editor blocks and which fields are available for data mutations.
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Connect DatoCMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Give your AI agents the power of DatoCMS MCP Server
Production-grade DatoCMS MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.