{"slug":"luismichio/semantic-sift","name":"Semantic-Sift","description":"A reasoning-first MCP middleware that uses heuristics and Neural BERT models to distil context and eliminate noise","category":"development","tags":[],"official":false,"stars":1,"transport":null,"install":[{"cmd":"pip install \"semantic-sift[neural]\"","imports":[]}],"tools":[{"name":"sift_onboard","description":"Onboard a project by writing IDE hooks and opencode.json configuration"},{"name":"sift_warmup","description":"Warm up the model to avoid first-call latency"},{"name":"sift_read_file","description":"Read and distill a file into high-density context"},{"name":"sift_logs","description":"Distill technical logs into compressed, high-signal context"},{"name":"sift_chat","description":"Distill chat histories into concise, relevant context"},{"name":"sift_rank","description":"Rank and filter content by relevance or signal-to-noise ratio"}],"env_vars":["SIFT_TELEMETRY_URL"],"auth_type":"none","github":"https://github.com/luismichio/semantic-sift","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Thu May 28"}