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Access OpenRouter models to use multiple LLMs for development and research.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Openrouter" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-openrouter' 'https://gateway.pipeworx.io/openrouter/mcp'
Using OpenRouter, call two different LLMs to review the following Python code for readability, performance, and potential bugs, then compare and summarize their recommendations: [paste code]
Two model review outputs plus a consolidated list of fixes and optimizations.
Via OpenRouter, call one model strong at product analysis to draft a PRD from the following requirements, then call another model to raise clarifying questions and improvement suggestions: [paste requirement context]
A structured PRD draft plus follow-up questions and improvement suggestions from another model.
Use OpenRouter to call three different models to summarize the following research material, compare their accuracy, completeness, and clarity, and provide the best final version: [paste material]
A comparison of three summaries and one final best combined summary.
Access 400+ OpenRouter models in Claude for chat, comparison, and document analysis.
Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.
Run background multi-model deliberation to produce higher-quality synthesized AI answers.
Access multiple AI providers in one terminal for generation, search, and comparison.
Build, debug, and manage software tasks with natural language across LLMs.
Route across multiple LLM providers with fallback, monitoring, and OpenAI-compatible APIs.