Reverse engineer anything with agents, from app behavior down to native binaries.
Openrouter MCP Multimodal
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)…
Install
One-click install
Runs locallyClaude Code (no install link, copy and run)
$
claude mcp add openrouter -- npx -y @stabgan/openrouter-mcp-multimodalButtons open the app on your computer and ask you to confirm before anything is added.
$
claude mcp add openrouter -- npx -y @stabgan/openrouter-mcp-multimodalmcp.json (Cursor, Claude Desktop, Windsurf)
{
"mcpServers": {
"openrouter": {
"command": "npx",
"args": [
"-y",
"@stabgan/openrouter-mcp-multimodal"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →OpenRouter MCP Multimodal
The MCP server for multimodal AI agents. One install · 21 tools · 300+ OpenRouter models · text, vision, audio & video — analysis and generation.
Quick start · Tools · Examples · Security · Troubleshooting · Development · Releasing · FAQ
What is this?
OpenRouter MCP Multimodal is a production-grade Model Context Protocol (MCP) server — listed on the official MCP Registry as io.github.stabgan/openrouter-multimodal. It connects AI coding agents (Cursor, Claude Desktop, VS Code, Windsurf, Cline, and others) to OpenRouter's unified LLM API over stdio.
Unlike text-only MCP servers, one install covers the full multimodal surface:
| Capability | Tools | Highlights |
|---|---|---|
| Chat | chat_completion, start_chat_completion, get_chat_completion_status |
300+ models, :nitro / :floor / :free / :online / :exacto suffixes, provider routing, web search, response caching, reasoning tokens, reasoning effort control, structured output (JSON Schema), async jobs, multi-model fusion, subagent delegation, response healing |
| Vision | analyze_image, generate_image, generate_image_dedicated |
OCR, captioning, VQA, image generation with reference inputs, dedicated Image API with resolution/quality/format control |
| Audio | analyze_audio, generate_audio, text_to_speech, speech_to_text |
Transcription, speech/music generation, dedicated TTS (Deepgram, ElevenLabs, OpenAI; free Deepgram default, voices, mp3/pcm), dedicated STT (Whisper, GPT-4o Transcribe, Voxtral, ElevenLabs Scribe) |
| Video | analyze_video, generate_video, generate_video_from_image, get_video_status |
Clip understanding, Veo 3.1 / Seedance 2.5 / Kling v3.0 / Wan 2.7 / Grok Imagine Video generation with progress notifications |
| Embedding | embed_text |
37+ embedding models (text-embedding-3-small/large, Nomic, Jina, Voyage, etc.) |
| Decisions | decide |
Structured |
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