Does stabgan/openrouter-mcp-multimodal work with Claude Desktop?

Yes. The README lists Claude Desktop as a compatible MCP client and provides configuration locations for macOS and Windows.

What can stabgan/openrouter-mcp-multimodal analyze?

It can analyze images, audio files, and video files, including image questions, audio transcription or analysis, and video description or question answering.

Does stabgan/openrouter-mcp-multimodal require an OpenRouter API key?

Yes. The server requires OPENROUTER_API_KEY to access OpenRouter.

Can stabgan/openrouter-mcp-multimodal run long video or chat jobs?

Yes. It provides background chat jobs with status retrieval and asynchronous, resumable video generation with status polling.

Openrouter MCP Multimodal

openroutermultimodalvisionaudiovideo

Connects MCP clients to OpenRouter for text, vision, audio, video, model discovery, and document reranking.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "stabgan-openrouter-mcp-multimodal": {
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/openrouter-mcp-multimodal"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

stabgan/openrouter-mcp-multimodal MCP server connects compatible AI clients to OpenRouter's unified API over stdio. It exposes tools for chat, image, audio, and video analysis or generation, plus model search, validation, metadata, reranking, and health checks. Reach for it when an agent needs multiple OpenRouter modalities through one MCP connection, especially for asynchronous video or long-running chat jobs.

Use cases

Route text questions across OpenRouter models

Analyze images, audio recordings, and video files

Generate images, speech, music, and video

Search and validate models before selecting one

Rerank documents for RAG pipelines

Key features

Text chat with routing, web search, caching, and reasoning

Image, audio, and video analysis

Image, audio, and video generation

Asynchronous chat and video job handling

OpenRouter model discovery and validation

Structured errors and file/network safety guards

Capabilities & Tool Schemas (19)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Openrouter MCP Multimodal.

chat_completion

Text chat, web search, provider routing, caching, reasoning

start_chat_completion

Async background job for long-running reasoning models

get_chat_completion_status

Poll / retrieve async completion results

analyze_image

Vision — local path, URL, or data URL + `question

analyze_audio

Transcribe / analyze audio files

analyze_video

Describe / Q&A over video files

How Openrouter MCP Multimodal works

What stabgan/openrouter-mcp-multimodal MCP server does

The stabgan/openrouter-mcp-multimodal MCP server gives MCP-compatible agents access to OpenRouter's model catalog and multimodal API. Its tools cover ordinary text completion, vision questions, audio transcription and analysis, video understanding, and media generation. It also includes supporting operations for finding models, checking model IDs, reading pricing and modality metadata, reranking documents, and probing API availability.

The server is suited to agents that need to choose among many OpenRouter models rather than connect to one fixed provider. Chat requests can use provider routing, web search, response caching, reasoning options, and OpenRouter model suffixes such as :free, :online, or :exacto, where supported by the selected model.

How it works

The stabgan/openrouter-mcp-multimodal MCP server runs locally over stdio and forwards supported requests to OpenRouter. A client invokes an MCP tool with a model and task-specific inputs. Image analysis accepts a local path, URL, or data URL; audio and video tools work with files. Image, audio, and video generation return media-related results through the corresponding generation tools.

Long-running work is handled with separate lifecycle tools. Chat jobs can be started in the background, checked for status, and retrieved later. Video generation supports asynchronous polling and resumption, while video progress notifications are available for supported workflows. Dedicated endpoints are provided for image generation, text-to-speech, and speech-to-text in addition to chat-completion-based media operations.

Setup and configuration

Install the Node.js package with npx and provide an OpenRouter API key through OPENROUTER_API_KEY:

server.ts

export OPENROUTER_API_KEY=sk-or-v1-...
npx -y @stabgan/openrouter-mcp-multimodal

The README specifies Node.js 22 or newer for the Node installation. Add the resulting stdio server to an MCP client configuration. Cursor, Claude Desktop, VS Code, Windsurf, and Cline are listed as compatible clients. OpenRouter's free tier and free models can be used for some chat and vision requests, while audio and video generation typically require credits.

Tools and capabilities

The stabgan/openrouter-mcp-multimodal MCP server exposes tools for:

Text chat, including synchronous and asynchronous completion flows.
Image questions and image generation with optional reference images.
Audio analysis, transcription, speech synthesis, and music generation.
Video description or question answering, plus text-to-video and image-to-video generation.
Model catalog search, model details, model ID validation, and API health checks.
Document relevance reranking for retrieval-augmented generation workflows.

Dedicated audio tools support text-to-speech voice, speed, and format options, as well as speech-to-text with Whisper or GPT-4o Transcribe. Dedicated image generation supports resolution, quality, and format controls.

Limitations and notes

The server requires an OpenRouter API key even when using free models. Model capabilities, pricing, provider availability, and supported media formats depend on OpenRouter and the selected model. Generation tasks, particularly audio and video, may need account credits and may run asynchronously.

Local file handling includes path-sandbox protections, and network access includes IPv4 and IPv6 SSRF guards. Errors use structured metadata including a meta.code taxonomy. These safeguards do not remove the need to select models and inputs that match the intended modality.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

6.9k

Package downloads in the last 30 days.

Last commit

Today

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

4 views

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Reviews

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Frequently Asked Questions about Openrouter MCP Multimodal

Set OPENROUTER_API_KEY, then run `npx -y @stabgan/openrouter-mcp-multimodal` with Node.js 22 or newer.

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Technical Specs & Signals

CategoryMultimedia Process

PricingBring your own API key (usage-based cost)

6/7 checks healthy over the last 32d

68Quality signal: Great · 68/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools29/30

Adoption & activity11/15

Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 16d ago via OSV.dev · @stabgan/openrouter-mcp-multimodal (npm)

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