ElevenLabs MCP Server vs Figma MCP Server

ElevenLabs MCP Server and Figma MCP Server are both MCP servers but differ in their categories and capabilities. ElevenLabs MCP Server (media, ai) is The official ElevenLabs MCP server (elevenlabs/elevenlabs-mcp) connects AI assistants like Claude Desktop, Cursor, Windsurf, and OpenAI Agents directly to ElevenLabs' text-to-speech and audio-processing APIs. Once installed, an AI client can generate natural-sounding speech from text in dozens of voices and languages, clone a voice from a short audio sample, design and save new synthetic voices to a personal voice library, transcribe spoken audio with automatic speaker diarization, isolate vocals from background noise, and compose layered soundscapes (e.g. "a thunderstorm in a dense jungle with animals reacting") from a text prompt. It also exposes ElevenLabs' Conversational AI agent-creation tools, so a client can spin up a voice agent with a defined persona and have it answer questions in character. Install via PyPI/uv with `uvx elevenlabs-mcp` and an `ELEVENLABS_API_KEY` from the ElevenLabs dashboard — the free tier includes 10k credits/month, enough for testing. Optional environment variables (`ELEVENLABS_MCP_BASE_PATH`, `ELEVENLABS_MCP_OUTPUT_MODE`) control whether generated audio is saved to disk, returned as base64-encoded MCP resources for containerized/serverless environments, or both, and `ELEVENLABS_API_RESIDENCY` supports enterprise data-residency requirements. With 1,450+ GitHub stars, it is the most widely adopted way to give an AI coding assistant real audio-generation capabilities without hand-rolling API calls. while Figma MCP Server (coding, media) is The Figma MCP Server connects AI coding assistants directly to your Figma design files, enabling real-time access to design tokens, component properties, frame layouts, and node data without leaving your editor. Figma's official MCP integration runs via the Figma Desktop app's Dev Mode — select any frame, component, or layer in your design and Claude, Cursor, or other MCP-compatible clients can read exact colors, typography, spacing, auto-layout properties, and component variants to generate pixel-accurate implementation code. The popular community alternative, Figma-Context-MCP by GLips (6,000+ GitHub stars), uses your Figma Personal Access Token (created in Figma Settings > Personal Access Tokens) to fetch any file your account can access, exposing tools to get full Figma document JSON, retrieve specific nodes by ID, list components with properties, extract text content from frames, and download rendered images of individual nodes. This approach works without the Figma Desktop app and is compatible with Claude Desktop, Windsurf, and Cline. Both routes give Claude the ability to read your exact design specs and translate Figma layouts into accurate React, Tailwind, or plain HTML/CSS code — eliminating the guesswork of approximating designs from screenshots or verbal descriptions. The Figma MCP Server is most powerful in front-end development workflows where design-to-code fidelity matters..

Choose ElevenLabs MCP Server if you need media capabilities and prefer pip installation. Choose Figma MCP Server if you need coding capabilities and prefer npm installation. Consider your specific use case and integration requirements.

Yes, you can use multiple MCP servers together in Claude Desktop, Cursor, VS Code, and other MCP-compatible clients.ElevenLabs MCP Server and Figma MCP Servercan complement each other if their capabilities don't overlap.