Mingxin Mcp Server

xyz.mingxinstorage/mingxin-mcp-server

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

healthy

status

tools exposed

2295ms

connect latency

33715f4540eb

schema fingerprint

Tools (3)

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.

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/ming

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.

Endpoint

https://www.mingxinstorage.xyz/api/mcp
Category: Databases · Last checked: 2026-08-15T10:26:59Z

Monitor your own MCP server

Get alerted the moment yours goes down, a tool schema drifts, or an upstream silently breaks.

Get early access

How we measure →

What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.