xyz.mingxinstorage/mingxin-mcp-server

pkg:npm:mingxin-mcp-server

Measured AI-inference-storage benchmarks with citations, article search, KV-cache ROI estimation.

transport:: remote + stdio
credential class:: open
repo:: https://github.com/mingxin-tech/mingxin-mcp-server

Owner verification

Not yet verified. Verifying proves you control this server and is free, permanently — it never changes a published score.

Start verification →

Tools

estimate_roi
Estimate the ROI of adding a Mingxin FX100 KV-cache storage tier to a GPU inference cluster. Model is a faithful port of the reproducible Python model (accel_value.py). Results are mid-scenario estimates, not commitments.
shallow
query_benchmark
Query Mingxin's signed benchmark results for FX-series storage acceleration: throughput +29-40%, TTFT -26-32% (480B model on 8x AMD MI308X), model loading 6.2-9.3x vs NFS, and the full R1-R9 report list with hosted PDF URLs. All numbers come from signed test reports; reproducible via github.com/mingxin-tech/mingxin-kvcache-bench.
shallow
search_mingxin_docs
Search Mingxin's published articles on AI inference storage (KV cache tiering, NVMe-oF all-flash arrays, LLM serving). Returns titles, URLs and excerpts. Supports Chinese and English.
shallow

Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

[![Vouch score](https://vouch.tools/api/servers/c5c308e9-61b1-45ea-b9cd-b98b45025c90/badge.svg)](https://vouch.tools/servers/c5c308e9-61b1-45ea-b9cd-b98b45025c90)