vLLM Multimodal

v1.0.0Data Science & MLstable

Enables text-only models to process images and other media formats by providing access to multimodal models from OpenAI and Dashscope (Alibaba Cloud). Supports flexible deployment options and comprehensive tooling for multimodal AI interactions.

vllm-mcp-servermcpai-integration
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What is vLLM Multimodal?

vLLM Multimodal is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables text-only models to process images and other media formats by providing access to multimodal models from openai and dashscope (alibaba cloud). supports flexible deployment options and comprehe...

Enables text-only models to process images and other media formats by providing access to multimodal models from OpenAI and Dashscope (Alibaba Cloud). Supports flexible deployment options and comprehensive tooling for multimodal AI interactions.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables text-only models to process images and other media f

Use Cases

Multimodal model access for text-only models
Image processing via OpenAI-compatible API
micytao

Maintainer

LicenseApache 2.0
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx vllm-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about vLLM Multimodal

What is vLLM Multimodal?

vLLM Multimodal is a Model Context Protocol (MCP) server that enables text-only models to process images and other media formats by providing access to multimodal models from openai and dashscope (alibaba cloud). supports flexible deployment options and comprehensive tooling for multimodal ai interactions. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install vLLM Multimodal?

Follow the installation instructions on the vLLM Multimodal GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with vLLM Multimodal?

vLLM Multimodal works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is vLLM Multimodal free to use?

Yes, vLLM Multimodal is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.

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.

Quick Config Preview

{ "mcpServers": { "vllm-mcp-server": { "command": "npx", "args": ["-y", "vllm-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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