No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by stabgan · MCP Server · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openrouter-mcp-multimodal safe to install? View the security audit →
OpenRouter MCP Multimodal Server The all-in-one MCP server for 300+ LLMs — text, vision, audio, and video in a single package. <img src="https://img.shields.io/npm/dt/@stabgan/openrouter-mcp-multimodal.svg?label=npm%20downloads&color=cb3837&logo=npm" alt="np
| Stars | 94 |
| Forks | 29 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.1717151556633/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-30 |
| Created | 2025-03-26 |
| Platforms | claude-code, docker, gemini, mcp, node |
| Est. Tokens | ~18k |
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openrouter-mcp-multimodal is MCP server for OpenRouter — chat with 300+ LLMs (Claude, Gemini, GPT), analyze images / audio / video, generate images / speech / music / video (Veo 3.1, Sora, Seedance, Wan) from Claude Desktop, Curs. It is categorized as a MCP Server with 94 GitHub stars.
openrouter-mcp-multimodal is primarily written in TypeScript. It covers topics such as ai-agent, claude, claude-desktop.
You can find installation instructions and usage details in the openrouter-mcp-multimodal GitHub repository at github.com/stabgan/openrouter-mcp-multimodal. The project has 94 stars and 29 forks, indicating an active community.
openrouter-mcp-multimodal is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openrouter-mcp-multimodal on Agent Skills Hub include notion-mcp-server, postman-mcp-server, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: