Mingxin MCP Server

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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):

config.json

{

  "mcpServers": {

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

  }

}

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

config.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.

License

MIT

Read the full README →View source on GitHub →

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Frequently Asked Questions about Mingxin MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mingxin-mcp-server": { "command": "npx", "args": ["-y", "mingxin-mcp-server"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Documentation Overview

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):

config.json

{

  "mcpServers": {

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

  }

}

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

config.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.

License

MIT

Frequently Asked Questions about Mingxin MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mingxin-mcp-server": { "command": "npx", "args": ["-y", "mingxin-mcp-server"] } }