# psychopy-mcp

> Use this tool when you need to design, run, and analyze psychology experiments with precision and accuracy. It solves problems of inefficient experiment setup and data analysis by enabling direct control of PsychoPy through Claude Code/Codex, allowing for seamless integration of literature-calibrated paradigms. The tool takes in experiment designs and parameters as input and outputs controlled experiment executions and analyzed data.

Canonical page: https://skillsregistry.net/skills/hackerunner-psychopy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hackerunner-psychopy-mcp

## Description

An MCP server that enables Claude Code/Codex to directly control PsychoPy for designing, running, and analyzing psychology experiments with literature-calibrated paradigms.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zu0qc8olcs)
- **Repository:** <https://github.com/hackerunner/psychopy-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": "hackerunner-psychopy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hackerunner-psychopy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hackerunner-psychopy-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
