LLM Advisor

About

This tool addresses the common limitation of LLMs having knowledge cutoffs, preventing them from answering current questions about model performance or pricing. By acting as a Model Context Protocol (MCP) server, it feeds live, external intelligence directly into an AI assistant's context window. This allows assistants to provide up-to-date recommendations, detailed comparisons, and comprehensive information on various LLMs and VLMs, leveraging data from five different benchmark sources and pricing information updated hourly, all while maintaining a low token footprint.

Key Features

• Zero-config installation with no API keys or registration required
• Low token consumption through compact Markdown tables (approx. 300 tokens per response)
• Unified data from 5 benchmark sources including SWE-bench, LM Arena Elo, and OpenCompass VLM
• Detailed model specifications including pricing, percentile ranks, and API code examples
• Personalized top-3 model recommendations based on use case and custom constraints
• 0 GitHub stars

Use Cases

• Identify the best-performing coding model for current tasks
• Perform side-by-side comparisons of multiple LLMs (e.g., Claude vs GPT vs Gemini)
• Recommend models based on budget constraints, minimum context window, and required capabilities