Neuroencoder EEG embeddings MCP Server

by neuroencoder Your server? Claim it

answering

Neuroencoder EEG embeddings is answering right now. Last checked 7 min ago. It exposes 7 tools.

Hosted EEG embeddings API: any montage and sampling rate, EDF/BDF/FIF/NPY, 768-d vector per window

Uptime history 42 hours of history

42 hours agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

479 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Neuroencoder EEG embeddings every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add eeg-embeddings --transport http https://api.neuroencoder.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://api.neuroencoder.com/mcp

~/.codex/config.toml

[mcp_servers.eeg-embeddings]
url = "https://api.neuroencoder.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "eeg-embeddings": {
      "url": "https://api.neuroencoder.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "eeg-embeddings": {
      "type": "http",
      "url": "https://api.neuroencoder.com/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

account

account

This API key: tier, limits and usage this month.

job

get_job

A job's status (queued, running, succeeded, failed, cancelled, expired), usage, error or result. Poll every 5 s while queued or running.

result

get_result_url

Fresh presigned GET URL (10 minutes) of a succeeded job's result: .npy float32 [windows, 768]; window i starts at i * t_start_step s.

sample

get_sample

One sample: README, licence, channels_used, and its embeddings in the POST /v1/embeddings response format (first windows only for long ones).

samples

list_samples

Precomputed real outputs (no upload needed): ids, titles, sizes, download URLs.

start

start_embedding_job

Queue an embeddings job on an uploaded file. window_seconds: 2 to 30 (default 30); stride_seconds: default window_seconds. picks: EDF/BDF channel labels to keep; channel_names: 10-20 labels overriding the file's; sfreq: required for .npy. Bills 30 s of EEG per window at any window_seconds (refunded on failure). Poll get_job.

upload

create_upload

Start an upload of a local .edf, .bdf or .npy file (at most 2 GB). Returns id and a presigned upload_url: PUT the file there within 10 minutes with exactly upload_headers (e.g. curl -X PUT --upload-file night.edf -H 'Content-Length: N' '<upload_url>', no Authorization header), then call start_embedding_job with the id. Only the extension of filename is used.

Endpoints

URL	Transport	State	Latency	Checked
https://api.neuroencoder.com/mcp	streamable-http	answering	553 ms	7 min ago

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Neuroencoder EEG embeddings — questions

Answers built from our own checks of this server.

What can Neuroencoder EEG embeddings do?

It exposes 7 tools, read directly from the server on our last check. Among them: account, create_upload, get_job, get_result_url, get_sample, list_samples and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Neuroencoder EEG embeddings working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 479 ms. The bar chart above shows every period we have measured.

How do I connect Neuroencoder EEG embeddings?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Neuroencoder EEG embeddings need an API key?

No. Neuroencoder EEG embeddings completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Neuroencoder EEG embeddings?

It answers our handshake in 479 ms on average, which is faster than 26% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.