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Control PsychoPy to design, run, and analyze literature-based psychology experiments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "psychopy-mcp" yet — see the docs or source repo.
Use PsychoPy to build a classic Stroop experiment with congruent and incongruent conditions, practice and main blocks, reaction time and accuracy logging, and provide a directly runnable experiment flow.
A PsychoPy-ready Stroop experiment design, flow configuration, and data logging instructions.
Based on a classic visual search paradigm from the literature, design a PsychoPy experiment describing stimulus timing, trial count, randomization, and participant instructions.
A literature-aligned experiment structure, key parameters, and executable implementation guidance.
Read PsychoPy-exported experiment data, remove invalid responses, calculate mean reaction time and accuracy by condition, and summarize key findings with visualization suggestions.
Cleaned analysis results, condition comparison summaries, and chart recommendations for reporting.
Delegate coding tasks to Codex via MCP with security and result checks.
Connect to Jupyter via MCP to run code and explore data interactively.
Connect AI agents to control local JupyterLab for coding and analysis.
Let AI control macOS apps, mouse, and keyboard to automate tasks.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.
Load, edit, search, and save Jupyter notebooks through MCP tools.