Mingxin

Name: Mingxin
Author: mingxinstorage

@mingxinstorageMCP server · External

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

AI evaluation & benchmarksv1.0.0MITJavaScript

Freeno charge per call

One address for any MCP client. No sign-in needed on this server.

What it does

Reads
Writes
High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

None listed · checked 10 Oct 2026

Odel could not list its tools without signing in.

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README1 min readView on GitHub

Mingxin MCP Server

Official MCP server for Mingxin (Tianjin) Semiconductor Equipment Co., Ltd. — signed AI-inference-storage benchmark data, technical article search, and KV-cache tiering ROI estimation.

Every figure this server returns carries a signed test-report citation (R1–R9). The underlying benchmark is open source and reproducible: mingxin-kvcache-bench.

Tools

Tool	What it does
`query_benchmark`	Signed FX-series results: throughput +29–40%, TTFT −26–32% (Qwen3-480B class on 8× AMD MI308X), model loading 6.2–9.3× vs NFS; full R1–R9 report list with hosted PDF URLs
`search_mingxin_docs`	Search Mingxin's published articles on KV cache tiering, NVMe-oF all-flash storage and LLM serving (Chinese + English)
`estimate_roi`	KV-cache tiering ROI estimate for a GPU cluster (faithful port of the reproducible Python model; mid-scenario estimates, not commitments)

Install

Remote (streamable HTTP, no install)

Endpoint: https://mingxinstorage.xyz/api/mcp

Cursor (~/.cursor/mcp.json):

json

{
  "mcpServers": {
    "mingxin": { "url": "https://mingxinstorage.xyz/api/mcp" }
  }
}

Claude Desktop / VS Code and other stdio-only clients (via this npm package):

json

{
  "mcpServers": {
    "mingxin": { "command": "npx", "args": ["-y", "mingxin-mcp-server"] }
  }
}

Domain-level discovery

https://mingxinstorage.xyz/.well-known/mcp.json

Honesty & provenance

Measured numbers come only from signed/official test reports; vendor specs and estimates are labeled as such.
ROI outputs are mid-scenario estimates with stated bands (uplift 29–40% measured; cold-recovery share 10–50% estimated, to be backfilled by pilot measurement).
This server exposes only already-public website content; no customer data.