MNE-MCP

Item: MNE-MCP
Rating: 69
Author: M8ven

An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.

→ Exekiel179/MNE-MCP · listed on glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configMNE_MCP_CLAUDE_CONFIG

configMNE_MCP_CODEX_CONFIG

configMNE_MCP_OPENCODE_CONFIG

configMNE_MCP_CONFIG— Defaults are saved to ~/.mne-mcp/config.json (override path with ). Precedence at

configMNE_MCP_TIMEOUT— 300 # per-operation timeout (s); raise for ICA / TFR / large files

configMNE_MCP_DATA_DIR— ... # default directory mne_list_files scans

configMNE_MCP_TEMP_DIR

configMNE_MCP_RESULTS_DIR— ... # where figures + exported objects are saved

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/exekiel179-mne-mcp-xthmzz)](https://m8ven.ai/mcp/exekiel179-mne-mcp-xthmzz)

commit: 627142cb5beebe1a210a8e0fb1e15afbec8b8010

code hash: c643aee775e2e003225f0ed7f92ae1c4641e18229fc905b163ac8c5695a6fe78

verified: 7/30/2026, 9:06:04 AM

view raw JSON →