best_model_for_rag — AI Pricing Hub MCP Prompt

best_model_for_rag is one of 5 prompts on the AI Pricing Hub MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke best_model_for_rag from your client

• Claude Code AI Pricing Hub Prompt/best_model_for_rag run in your project directory
• Claude Desktop AI Pricing Hub Prompt/best_model_for_rag ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor AI Pricing Hub Prompt/best_model_for_rag ~/.cursor/mcp.json
• VS Code AI Pricing Hub Prompt/best_model_for_rag .vscode/mcp.json
• Zed AI Pricing Hub Prompt/best_model_for_rag ~/.config/zed/settings.json
• Windsurf AI Pricing Hub Prompt/best_model_for_rag ~/.codeium/windsurf/mcp_config.json
• Cline AI Pricing Hub Prompt/best_model_for_rag ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI AI Pricing Hub Prompt/best_model_for_rag ~/.gemini/settings.json
• Grok AI Pricing Hub Prompt/best_model_for_rag .mcp.json (in your project root)
• ChatGPT AI Pricing Hub Prompt/best_model_for_rag Settings → Connectors → Advanced → Developer mode
• Claude.ai AI Pricing Hub Prompt/best_model_for_rag Settings → Connectors → Add custom connector
• LangChain AI Pricing Hub Prompt/best_model_for_rag pip install langchain-mcp-adapters

Other prompts on this server

• best_model_for_coding
• cheapest_model
• compare_models
• enterprise_recommendation

AI Pricing Hub also offers 12 resources — data you attach as context, where a prompt is something you run.

Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026. A listing does not declare its prompts, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each prompt's arguments.