benchmark_accuracy — Bankstatemently MCP Prompt

benchmark_accuracy is one of 4 prompts on the Bankstatemently MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke benchmark_accuracy from your client

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

Other prompts on this server

• convert_statement_workflow
• analyze_spending
• reconcile_statements

Bankstatemently also offers 16 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.