{"serverId":"mcp-registry/dev.aicomputeradar/ai-compute-radar","tools":[{"name":"find_fit","fixed":{"name":"find_fit","description":"Which tracked models run on a given GPU or Mac: measured GGUF weights + computed context cache + runtime overhead versus usable memory. Returns the best recommendation and every verdict (EXCELLENT/GOOD/TIGHT/OFFLOAD_REQUIRED/NOT_RECOMMENDED/UNKNOWN) with plain-language reasons. Get hardware ids from list_hardware.","inputSchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["hardware"],"properties":{"kv":{"enum":["f16","q8_0","q4_0"],"type":"string","description":"KV-cache quantization (default f16)."},"model":{"type":"string","description":"Restrict to one model slug."},"context":{"type":"integer","maximum":1048576,"minimum":512,"description":"Context length in tokens (default 8192)."},"hardware":{"type":"string","description":"Hardware id or page slug, e.g. rtx-4090, mac-studio-m3-ultra-96gb."}}},"annotations":{"readOnlyHint":true},"title":"Find models that fit a machine"},"changes":[{"kind":"annotations","detail":"Added readOnlyHint: true (inferred from the name).","verify":true}],"tokensBefore":246,"tokensAfter":246},{"name":"list_hardware","fixed":{"name":"list_hardware","description":"Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit.","inputSchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","properties":{}},"annotations":{"readOnlyHint":true},"title":"List hardware profiles"},"changes":[{"kind":"annotations","detail":"Added readOnlyHint: true (inferred from the name).","verify":true}],"tokensBefore":77,"tokensAfter":77}],"toolsChanged":2,"tokensSaved":0,"todo":[],"note":"Deterministic fixes. Changes marked verify need a human look before shipping (renames, inferred annotations, inferred types, removed text). Parameter descriptions in `todo` need to be written by someone who knows the API."}