Generates and validates optimized YAML configurations for the Model Context Protocol (MCP) Benchmark Runner.
The mcpbr-config skill simplifies the process of benchmarking MCP servers by ensuring configuration files are syntactically correct and follow the strict requirements of the Model Context Protocol Benchmark Runner. It automates the creation of complex YAML files, handles essential requirements like the {workdir} placeholder, and validates execution commands for Node.js and Python environments. This skill is essential for developers looking to evaluate server performance against standardized datasets like SWE-bench, CyberGym, and MCPToolBench++ without manual configuration errors.
Características Principales
01Automated generation of valid mcpbr YAML configuration templates
02Validation of critical {workdir} placeholders to prevent runtime benchmarking errors
0320 GitHub stars
04Pre-configured templates for SWE-bench, CyberGym, and MCPToolBench++
05Support for simplified model aliases and secure environment variable handling
06Verification of system executables including npx, uvx, and python
Casos de Uso
01Validating configuration files before running large-scale benchmark jobs to save time and API costs
02Setting up standardized evaluation environments for Model Context Protocol tool performance
03Benchmarking custom MCP servers against industry-standard datasets like SWE-bench
