Semantic code search MCP server that reduces token usage by ~95% by returning top relevant code chunks instead of full files.
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process.env. You'll be asked to provide them before it can run.VECGREP_MODEL— isuruwijesiri/all-MiniLM-L6-v2-code-search-512 HuggingFace model ID (local provider only)VECGREP_BACKEND— onnx Local backend: onnx (fastembed, fast startup) or torch (sentence-transformers, any HF model)VECGREP_OPENAI_KEY— openai text-embedding-3-small 1536 vecgrep[openai]VECGREP_VOYAGE_KEY— voyage voyage-code-3 1024 vecgrep[voyage]VECGREP_GEMINI_KEY— gemini gemini-embedding-exp-03-07 3072 vecgrep[gemini][](https://m8ven.ai/mcp/vecgrep-vecgrep-1aivow)