The Index9 MCP Server provides up-to-date information and live testing capabilities for 300+ AI models from OpenRouter, helping you discover, compare, and evaluate models with current pricing, specifications, and performance data.

Key Capabilities:

• Search and Filter Models: Use natural language queries or specific filters (provider, context window, price, capabilities) to discover relevant models from 300+ options

• Get Detailed Specifications: Retrieve comprehensive technical details including pricing (input/output per million tokens), context window limits, capabilities (vision, audio, tool_calling, JSON mode, video), architecture, and per-request limits

• Live Model Testing: Execute actual API calls to 1-5 models simultaneously using preset scenarios (quick math, code generation, reasoning, instruction following, tool calling) or custom prompts, measuring output quality, latency, token usage, and costs

• Semantic Search: Find models using natural language descriptions with relevance scoring that combines semantic similarity, capability matching, and quality signals

• Cost Analysis: Access current pricing and estimate costs for model usage, including extended pricing for image processing, audio, web search, and caching

• Compare Models Side-by-Side: View pricing, release dates, architecture details (tokenizer, instruct type), moderation status, and performance metrics

• Capability Filtering: Filter models by specific capabilities using AND logic to find models meeting multiple requirements

• Pagination and Sorting: Browse results with pagination support and sort by relevance, price, release date, or context window size

• Stay Current: Access regularly updated model information, solving the problem of outdated AI assistant knowledge

Note: Live testing requires an OpenRouter API key for billing purposes.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Index9 MCP Server find models with 128k context under $0.50 per million tokens"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.