Conversational EEG/MEG/sEEG/ECoG/fNIRS analysis with MNE-Python via the Model Context Protocol (Claude Code / opencod...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if MNE-MCP belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add mne-mcp -- npx mne-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove mne-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ mne-mcp ← registers here
Conversational EEG/MEG/sEEG/ECoG/fNIRS analysis with MNE-Python via the Model Context Protocol (Claude Code / opencode): persistent session, 32 tools + 2 skills, figure capture, run_code escape hatch.
Source: GitHub repository
Source check: October 14, 2026
Upstream commit: October 14, 2026
Repository state: Not marked archived
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