Compatible with every major AI agent and IDE
What is the Resemble AI MCP Server?
Connect your Resemble AI account to any AI agent to generate, manage, and protect high-fidelity synthetic speech through natural conversation.
What you can do
- Voice Synthesis — Create high-quality audio clips from text using custom or system voices with full SSML support.
- Speech-to-Speech — Transform source audio into a target voice while preserving the original emotion, intonation, and timing.
- Project Organization — List, create, and manage projects to keep your audio assets and clips organized.
- Voice Management — List available voices, create new custom voice profiles, and manage training recordings.
- AI Safety & Security — Detect deepfakes in audio files and apply or verify digital watermarks to ensure content authenticity.
How it works
- Subscribe to this server
- Enter your Resemble AI API Token
- Start generating and managing AI voices from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Content Creators — Generate voiceovers and localized content instantly without leaving your workflow.
- Developers — Integrate advanced voice synthesis and deepfake detection directly into your development environment.
- Security Teams — Verify the authenticity of audio files and detect synthetic manipulations using built-in safety tools.
Built-in capabilities (16)
Apply an imperceptible watermark to an audio file
Supports SSML. Create a new clip (Text-to-Speech)
Create a new project
Upload an audio recording to train a voice
Create a new custom voice
Delete a custom voice
Verify if an audio clip is real or AI-generated
Get a specific clip
Get details of a specific voice
List clips in a project
List all projects
List recordings for a voice
List all custom and system voices
Transform an input audio file into a target voice (STS)
Update an existing clip
Verify a watermark in an audio file
Why Claude Code?
Claude Code registers Resemble AI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 16 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Resemble AI data drives decisions without human intervention.
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Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using Resemble AI tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Resemble AI in Claude Code
Resemble AI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Resemble AI to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Resemble AI in Claude Code
The Resemble AI MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Claude Code 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, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Resemble AI for Claude Code
Every tool call from Claude Code to the Resemble AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I use SSML tags when creating an audio clip?
Yes! The create_clip tool fully supports SSML in the body field, allowing you to control pitch, rate, and emphasis for more natural-sounding speech.
How can I transform an existing audio file into a different voice?
Use the speech_to_speech tool. Provide the target voice_uuid and a Base64 encoded audio sample or URL, and the AI will re-voice the content while keeping the original performance characteristics.
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.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
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