Integrate Resemble AI with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAdd watermark on Resemble AI
Apply an imperceptible watermark to an audio file
Create clip on Resemble AI
Supports SSML. Create a new clip (Text-to-Speech)
Create project on Resemble AI
Create a new project
Create recording on Resemble AI
Upload an audio recording to train a voice
Create voice on Resemble AI
Create a new custom voice
Delete voice on Resemble AI
Delete a custom voice
Detect deepfake on Resemble AI
Verify if an audio clip is real or AI-generated
Get clip on Resemble AI
Get a specific clip
Get voice on Resemble AI
Get details of a specific voice
List clips on Resemble AI
List clips in a project
List projects on Resemble AI
List all projects
List recordings on Resemble AI
List recordings for a voice
List voices on Resemble AI
List all custom and system voices
Speech to speech on Resemble AI
Transform an input audio file into a target voice (STS)
Update clip on Resemble AI
Update an existing clip
Verify watermark on Resemble AI
Verify a watermark in an audio file
Security & Code Integrity Audit
Every tool in the Resemble AI 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
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.
Is there a way to check if an audio file is a deepfake?
Absolutely. The detect_deepfake tool allows you to submit an audio URL to Resemble's security engine to analyze whether the speech was generated by AI.
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 Resemble AI?
The Resemble AI integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Scaling voice cloning via MCP
Integrate voice cloning features into your LLM framework using Resemble AI. The MCP server ensures precise command execution across your image video stack.
AI Semantic Routing for text to speech
Use Resemble AI to interface with text to speech via natural language. The toolkit provides Cursor with LLM-friendly schemas for image video tasks.
Resemble AI. 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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