Integrate Amplience with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate content item on Amplience
Create a new structured content item adhering to a schema inside a folder
Delete content item on Amplience
Requires version validation before deletion. Permanently delete a content item from the repository database
Get content item on Amplience
Retrieve a specific content item configuration and its schema revision lock
Get delivery content on Amplience
Retrieve the exact structural matching verifying Delivery CDN blocks
List content items on Amplience
Retrieve paginated content items from a specific repository
List folders on Amplience
List all folders organizing content in a given repository
List hubs on Amplience
Essential for retrieving the active workspace. List all accessible Amplience Hubs (environments)
List repositories on Amplience
List all content repositories within a specific Hub
Publish content item on Amplience
Publish a specific content item version to the live delivery CDN
Update content item on Amplience
Update an existing content item data structure matching its current schema
Security & Code Integrity Audit
Every tool in the Amplience MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can the agent push updates without breaking my Amplience JSON schemas?
Yes. Before invoking the update tool, the agent utilizes context to retrieve the item's precise configuration. It parses the associated Schema ID requirements and injects the updated stringified payload adhering identically to Amplience's validation rules.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What can AI Agents do with Amplience?
The Amplience integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Prompting digital asset management Workflows
Connect Amplience to provide your chatbots with digital asset management capabilities. The integration manages the backend execution for ecommerce workflows.
The Future of content architecture
Build automated workflows involving content architecture by connecting Amplience. It provides Claude and ChatGPT with direct API hooks into your ecommerce ecosystem.
Amplience. 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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