# Quantum Hardware MCP Server

> Use this tool when you need to access real-time data on IBM Quantum devices, such as queue depths, error rates, and coherence times, to inform AI-driven decisions and comparisons. It provides a query-based interface for AI assistants to retrieve and analyze quantum hardware performance metrics. Ideal for use cases requiring up-to-date information on quantum device capabilities and limitations.

Canonical page: https://skillsregistry.net/skills/lokesh-2025-quantum-hardware-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lokesh-2025-quantum-hardware-mcp

## Description

An MCP server that provides real-time IBM Quantum device data including queue depths, error rates, and coherence times, enabling AI assistants to query and compare quantum hardware.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ixfg97gjii)
- **Repository:** <https://github.com/Lokesh-2025/quantum-hardware-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lokesh-2025-quantum-hardware-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lokesh-2025-quantum-hardware-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lokesh-2025-quantum-hardware-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt