Compatible with every major AI agent and IDE
Create cms record on DatoCMS
Provision a highly-available JSON Payload generating new content Items
Execute graphql cda on DatoCMS
Identify bounded routing spaces inside the Headless DatoCMS GraphQL tree
Get media upload on DatoCMS
Retrieve the exact structural matching verifying File blocks
Get single record on DatoCMS
Perform structural extraction of properties driving active Node details
List cma records on DatoCMS
Retrieve explicit Cloud logging tracing explicit JSON:API arrays
List global models on DatoCMS
Enumerate explicitly attached structured rules exporting Item Types
List media uploads on DatoCMS
Inspect deep internal arrays mitigating specific Image storage
Patch cms record on DatoCMS
Mutate global Web CRM boundaries substituting Item parameters safely
Wipe cms record on DatoCMS
Irreversibly vaporize explicit App nodes dropping live Document rows
Wipe media upload on DatoCMS
Dispatch an automated validation check routing explicit Disk removals
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Automated Workflows using DatoCMS
Securely interface Claude Code, ChatGPT, and Cursor with the DatoCMS API through semantic routing and standardized natural language triggers.
Cursor Copilot for graphql
Integrate the DatoCMS server to handle graphql requests natively. It provides the schemas required for ChatGPT and Cursor to manage developer tools data.
The Future of digital experience
The DatoCMS toolkit translates Claude's commands into digital experience operations. The MCP server ensures accurate delivery within the developer tools ecosystem.
DatoCMS. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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