Multimodal
Multi-provider media generation — images, video, audio, and transcription via a unified interface
What is Multimodal?
Multimodal is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to multi-provider media generation — images, video, audio, and transcription via a unified interface
Multi-provider media generation — images, video, audio, and transcription via a unified interface
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Multi-provider media generation — images, video, audio, and
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @r16t/multimodal-mcpManual Installation
npx -y @r16t/multimodal-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Multimodal
What is Multimodal?
Multimodal is a Model Context Protocol (MCP) server that multi-provider media generation — images, video, audio, and transcription via a unified interface It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Multimodal?
Install via npm with the command: npx -y @r16t/multimodal-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Multimodal?
Multimodal works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Multimodal free to use?
Yes, Multimodal is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Multimodal Alternatives — Similar Data Science & ML Servers
Looking for alternatives to Multimodal? Here are other popular data science & ml servers you can use with Claude, Cursor, and VS Code.
Ultrarag
★ 5.6kA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
RocketRide
★ 3.1k📇 🏠 - MCP server that exposes RocketRide AI pipelines as t
Aix Db
★ 2.1kAix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
NeMo Data Designer
★ 1.9k🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
PaperBanana
★ 1.7kOpen source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
MiniMax
★ 1.5kBridges MiniMax AI capabilities to the Model Context Protocol, enabling AI agents to perform image understanding, text-to-image generation, and speech synthesis. It provides a standardized interface for accessing MiniMax's core tools via JSON-RPC.
Browse More Data Science & ML MCP Servers
Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Multimodal in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Multimodal?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.