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PopNx MCPMCP servers for people who use AI · explained in plain words

Openrouter Multimodal

by stabganversion 4.5.1i★ –iRuns on your computer
Registry nameio.github.stabgan/openrouter-multimodal

Install

Overview

Description from the maker (original English)

Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: OPENROUTER_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: OPENROUTER_API_KEY, OPENROUTER_DEFAULT_MODEL, OPENROUTER_OUTPUT_DIR, OPENROUTER_MAX_TOKENS, OPENROUTER_PROVIDER_SORT, OPENROUTER_PROVIDER_IGNORE, OPENROUTER_PROVIDER_ORDER, OPENROUTER_PROVIDER_QUANTIZATIONS, OPENROUTER_PROVIDER_REQUIRE_PARAMETERS, OPENROUTER_PROVIDER_DATA_COLLECTION, OPENROUTER_PROVIDER_ALLOW_FALLBACKS, OPENROUTER_CACHE_RESPONSES, OPENROUTER_INCLUDE_REASONING

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "openrouter-multimodal": {
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/openrouter-mcp-multimodal"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "OPENROUTER_DEFAULT_MODEL": "your-value",
        "OPENROUTER_OUTPUT_DIR": "your-value",
        "OPENROUTER_MAX_TOKENS": "your-value",
        "OPENROUTER_PROVIDER_SORT": "your-value",
        "OPENROUTER_PROVIDER_IGNORE": "your-value",
        "OPENROUTER_PROVIDER_ORDER": "your-value",
        "OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
        "OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
        "OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
        "OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
        "OPENROUTER_CACHE_RESPONSES": "your-value",
        "OPENROUTER_INCLUDE_REASONING": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add openrouter-multimodal --env OPENROUTER_API_KEY=your-value --env OPENROUTER_DEFAULT_MODEL=your-value --env OPENROUTER_OUTPUT_DIR=your-value --env OPENROUTER_MAX_TOKENS=your-value --env OPENROUTER_PROVIDER_SORT=your-value --env OPENROUTER_PROVIDER_IGNORE=your-value --env OPENROUTER_PROVIDER_ORDER=your-value --env OPENROUTER_PROVIDER_QUANTIZATIONS=your-value --env OPENROUTER_PROVIDER_REQUIRE_PARAMETERS=your-value --env OPENROUTER_PROVIDER_DATA_COLLECTION=your-value --env OPENROUTER_PROVIDER_ALLOW_FALLBACKS=your-value --env OPENROUTER_CACHE_RESPONSES=your-value --env OPENROUTER_INCLUDE_REASONING=your-value -- npx -y @stabgan/openrouter-mcp-multimodal

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "openrouter-multimodal": {
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/openrouter-mcp-multimodal"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "OPENROUTER_DEFAULT_MODEL": "your-value",
        "OPENROUTER_OUTPUT_DIR": "your-value",
        "OPENROUTER_MAX_TOKENS": "your-value",
        "OPENROUTER_PROVIDER_SORT": "your-value",
        "OPENROUTER_PROVIDER_IGNORE": "your-value",
        "OPENROUTER_PROVIDER_ORDER": "your-value",
        "OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
        "OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
        "OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
        "OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
        "OPENROUTER_CACHE_RESPONSES": "your-value",
        "OPENROUTER_INCLUDE_REASONING": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "openrouter-multimodal": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/openrouter-mcp-multimodal"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "OPENROUTER_DEFAULT_MODEL": "your-value",
        "OPENROUTER_OUTPUT_DIR": "your-value",
        "OPENROUTER_MAX_TOKENS": "your-value",
        "OPENROUTER_PROVIDER_SORT": "your-value",
        "OPENROUTER_PROVIDER_IGNORE": "your-value",
        "OPENROUTER_PROVIDER_ORDER": "your-value",
        "OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
        "OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
        "OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
        "OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
        "OPENROUTER_CACHE_RESPONSES": "your-value",
        "OPENROUTER_INCLUDE_REASONING": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • OPENROUTER_API_KEY secret required env
    OpenRouter API key. Get one free at https://openrouter.ai/keys
  • OPENROUTER_DEFAULT_MODEL env
    Default model for chat + analyze tools. Defaults to nvidia/nemotron-nano-12b-v2-vl:free.
  • OPENROUTER_OUTPUT_DIR env
    Sandbox root for save_path on generate_* tools. Defaults to the current working directory.
  • OPENROUTER_MAX_TOKENS env
    Default max_tokens for chat_completion when unset in the request.
  • OPENROUTER_PROVIDER_SORT env
    price / throughput / latency
  • OPENROUTER_PROVIDER_IGNORE env
    CSV of provider slugs to exclude.
  • OPENROUTER_PROVIDER_ORDER env
    JSON array or CSV of preferred provider IDs.
  • OPENROUTER_PROVIDER_QUANTIZATIONS env
    CSV of quantization levels (fp16,int8).
  • OPENROUTER_PROVIDER_REQUIRE_PARAMETERS env
    true/false. Require providers to support all request params.
  • OPENROUTER_PROVIDER_DATA_COLLECTION env
    allow/deny
  • OPENROUTER_PROVIDER_ALLOW_FALLBACKS env
    true/false
  • OPENROUTER_CACHE_RESPONSES env
    Enable response caching server-wide. Sends X-OpenRouter-Cache: true on every chat/analyze call unless overridden per-request. Zero tokens billed on cache hits.
  • OPENROUTER_INCLUDE_REASONING env
    Enable reasoning tokens passthrough server-wide. Adds _meta.reasoning to chat_completion responses for DeepSeek R1 / Gemini Thinking / Opus 4.7.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account stabgan, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2204 servers in this category
  • Published to the registry more recently than 7% of the other 2204 servers in this category
  • Basic checks equal to or better than 100% of the other 2204 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Openrouter Multimodal safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OPENROUTER_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (4.5.1) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

CapabilityToolsHighlights
Chatchat_completion, start_chat_completion, get_chat_completion_status300+ 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
Visionanalyze_image, generate_image, generate_image_dedicatedOCR, captioning, VQA, image generation with reference inputs, dedicated Image API with resolution/quality/format control
Audioanalyze_audio, generate_audio, text_to_speech, speech_to_textTranscription, speech/music generation, dedicated TTS (Deepgram, ElevenLabs, OpenAI; free Deepgram default, voices, mp3/pcm), dedicated STT (Whisper, GPT-4o Transcribe, Voxtral, ElevenLabs Scribe)
Videoanalyze_video, generate_video, generate_video_from_image, get_video_statusClip understanding, Veo 3.1 / Seedance 2.5 / Kling v3.0 / Wan 2.7 / Grok Imagine Video generation with progress notifications
Embeddingembed_text37+ embedding models (text-embedding-3-small/large, Nomic, Jina, Voyage, etc.)
DecisionsdecideStructured yes/no, choice, or score decisions with calibrated probabilities (System One models)
Catalogsearch_models, get_model_info, validate_model, rerank_documents, health_checkModel discovery, validation, reranking, ops health

Production hardening: input/output path sandboxes (including analyze\_\* local files as of v4.5.2), SSRF guards, structured errors with _meta.code, MCP 2025-11-25 structured outputs + tool icons, async video progress notifications, and 3929 automated tests (3905 unit/mock + 7 regression + 17 live integration).

Quick start

1. Get an API key (free tier works) → openrouter.ai/keys

2. Run the server

export OPENROUTER_API_KEY=sk-or-v1-...

npx -y @stabgan/openrouter-mcp-multimodal

3. Add to your MCP client — copy one JSON block from Install into your client config:

ClientConfig location
CursorProject: .cursor/mcp.json · User: Cursor Settings → MCP
Claude DesktopmacOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json
VS Code.vscode/mcp.json (workspace) or User Settings → MCP
WindsurfWindsurf Settings → MCP (same mcpServers JSON shape as Cursor)

Use the mcpServers object from Manual config below.

No credits required to start. Free models such as google/gemma-4-26b-a4b-it:free work for chat and vision. Video/audio generation typically needs credits.

Install

MCP servers are distributed through several packaging models. This server is implemented in Node.js/TypeScript; the table below maps each ecosystem method to how you run it here.

MethodRuntimeBest forThis server
[npx](#manual-config)Node.js 22+Most MCP clients (default)✅ @stabgan/openrouter-mcp-multimodal
[uvx / pipx](#manual-config)Python 3.10+ and Node.js 22+Python-first workflows, same pattern as PyPI MCP servers✅ mcp-server-openrouter-multimodal
[npm global](#manual-config)Node.js 22+Pin a version without re-downloading✅
[node (local)](#manual-config)Node.js 22+Contributors / air-gapped builds✅
[Docker Hub](#manual-config)DockerIsolation, no Node on host✅ stabgan/openrouter-mcp-multimodal
[GHCR](#manual-config)DockerGitHub-native OCI pulls✅ ghcr.io/stabgan/openrouter-mcp-multimodal
[Smithery CLI](#smithery)Node.js (via installer)Interactive install into Claude/Cursor/etc.✅
[MCP Registry](#mcp-registry)npm or OCIOfficial discovery (io.github.stabgan/openrouter-multimodal)✅ listing
[One-click deeplinks](#one-click)Node.jsCursor, VS Code, Kiro✅
[Claude Code CLI](#claude-code-cli)Node.jsTerminal-first Claude Code users✅
[MCP Inspector](#mcp-inspector)Node.jsDebug / list tools locally✅

| **Windows cmd /c npx*

Only the beginning is shown; read the rest in the repo

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