✨ $500 AI Visibility Audit — live at Spurlock Studios. Book the audit

Operations & Systems

11Labs MCP Server

This n8n workflow acts as an AI tool server, integrating with ElevenLabs via HTTP Requests. It exposes functionalities for text-to-speech, speech-to-text, voice design, manipulation, and management, and sound effect generation. Triggered by an n8n MCP node, it enables AI models…

Built · ~4.5 hours saved per week

ElevenLabs AI Tool Server This n8n workflow serves as a comprehensive toolkit for interacting with the ElevenLabs API, a leading platform for AI-powered voice synthesis and audio manipulation. It is designed to be used as a "Tool Server" for an AI Agent, exposing a wide range of ElevenLabs' capabilities through a standardized interface. Technologies and Automation H2: Core Technologies - n8n: The central automation platform that hosts and executes the workflow. - ElevenLabs API: The generative AI service used for all text-to-speech, speech-to-speech, and audio manipulation tasks. - HTTP Request Node: Used to make direct calls to the various ElevenLabs API endpoints. H2: What It Automates This workflow automates the process of generating, modifying, and managing AI voices and audio. Instead of manually crafting API calls for each task, this workflow provides a set of pre-configured, ready-to-use tools. It streamlines complex audio production pipelines, such as: - Content Creation: Generating voiceovers for videos, podcasts, or audiobooks from a script. - Real-time Applications: Powering conversational AI with low-latency, streaming voice responses. - Audio Editing: Automating tasks like transcribing speech, isolating vocals from music, or changing a speaker's voice entirely. - Voice Management: Programmatically creating, listing, and managing custom AI voices. AI Integration: A Toolbox for AI Agents The workflow is built around n8n's Model/Tool Connector Pattern (MCP) Trigger. This special trigger node exposes every connected HTTP request as a "tool" that an external AI Agent (such as one built with LangChain or LlamaIndex) can select and use to fulfill a user's request. The AI integration is evident in the dynamic expressions like {{ $fromAI('...') }} found throughout the nodes. This is where the magic happens: 1. A user gives a prompt to an AI Agent, for example: "Create a 5-second audio clip of a spaceship door opening, and then have a robot voice say 'Welcome aboard'." 2. The AI Agent analyzes the prompt and sees that it needs to perform two tasks. 3. It examines the tools provided by this n8n workflow and selects the Create Sound Effect tool.

Tags: Audio/Music/Voice, Data Transformation, MCP

Integrations: HTTP

Related automations

Back to the Automation Library