An MCP server that detects energy anti-patterns in Python code, retrieves optimization examples, suggests refactoring, validates correctness, and benchmarks resource gains, integrating with VS Code, Cursor, and Windsurf.
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process.env. You'll be asked to provide them before it can run.NVIDIA_API_KEY— Edit .env and set =your_key_hereLLM_MODEL— qwen/qwen2.5-coder-32b-instruct LLM model identifierLLM_BASE_URLLLM_TEMPERATURELLM_MAX_TOKENSRAG_TOP_KBENCHMARK_WARMUP— 3 Warm-up iterations before measurementBENCHMARK_RUNS— 10 Number of measurement runsBENCHMARK_BATCH_INNERBENCHMARK_TIMEOUT— 60 Timeout per benchmark (seconds)VALIDATION_TIMEOUTFLOAT_TOLERANCE_RELFLOAT_TOLERANCE_ABSLOG_LEVEL— INFO Logging verbosity[](https://m8ven.ai/mcp/daoudiamir-greencodemcp-ruq4i4)