# qudi MCP Integration

> Use this tool when you need to control and manage quantum photonics experiments using natural language, enabling safe and efficient instrument control, measurement execution, and safety system management. It solves problems related to complex experiment setup and execution, providing a user-friendly interface for inputs such as experiment parameters and outputs like measurement results. Ideal for researchers and scientists working with quantum photonics, this tool streamlines experiment workflow and ensures reliable instrument operation.

Canonical page: https://skillsregistry.net/skills/dirkenglund-qudi-mcp-integration  
JSON: https://api.skillsregistry.net/v1/skills/dirkenglund-qudi-mcp-integration

## Description

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r6lec3yv9o)
- **Repository:** <https://github.com/dirkenglund/qudi-mcp-integration>

## 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": "dirkenglund-qudi-mcp-integration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dirkenglund-qudi-mcp-integration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dirkenglund-qudi-mcp-integration/pull`

---
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