SigRank Standard Record Schema — SigRank — AI Operator Benchmarking MCP Resource

SigRank Standard Record Schema is one of 8 resources on the SigRank — AI Operator Benchmarking MCP server. Connect the server and your client can attach it as context.

by client

How to attach SigRank Standard Record Schema from your client

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

Other resources on this server

• SigRank Standard Identity
• Methodology
• Metric Definitions
• Supported Platforms
• Canonical Formulas
• RS05 Class Taxonomy
• Live Field Benchmarks

SigRank — AI Operator Benchmarking also offers 5 prompts — things you invoke, where a resource is context you attach.

Read from the server itself, by connecting to it and calling resources/list on 24 September 2026. A listing does not declare its resources, 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 resource's type and contents.