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xyz.mingxinstorage/mingxin-mcp-server

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http mingxin-mcp-server 'https://www.mingxinstorage.xyz/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "mingxin-mcp-server": {
            "type": "http",
            "url": "https://www.mingxinstorage.xyz/api/mcp"
        }
    }
}
NPM package mingxin-mcp-server
Claude Code 
claude mcp add mingxin-mcp-server -- npx -y mingxin-mcp-server@1.0.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "mingxin-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "mingxin-mcp-server@1.0.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Mingxin MCP Server
  2. Tools
  3. Install
  4. Domain-level discovery
  5. Honesty & provenance
  6. License

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

ToolWhat it does
query_benchmarkSigned 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_docsSearch Mingxin's published articles on KV cache tiering, NVMe-oF all-flash storage and LLM serving (Chinese + English)
estimate_roiKV-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):

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

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

{
  "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

What is xyz.mingxinstorage/mingxin-mcp-server?

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

How do I install xyz.mingxinstorage/mingxin-mcp-server?

It runs as a remote server. In Claude Code: claude mcp add --transport http mingxin-mcp-server 'https://www.mingxinstorage.xyz/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does xyz.mingxinstorage/mingxin-mcp-server need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is xyz.mingxinstorage/mingxin-mcp-server open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains xyz.mingxinstorage/mingxin-mcp-server?

It is published by mingxin-tech. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.