BrainFlow Biosensing Boards
PYPI · LABMCP-BRAINFLOW · SCANNED SEP 30
MCP server for EEG/EMG/ECG/PPG boards via BrainFlow (OpenBCI, Muse, Neurosity, Unicorn, BrainBit).
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security49
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 2 of 20 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to K-Dense-AI/lab-instrument-mcps). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 3 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1477 tokens (~123/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage93
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 76% of tool parameters carry a description.Partial
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
How do I install the BrainFlow Biosensing Boards MCP server?
BrainFlow Biosensing Boards runs locally as a PyPI package, launched with uvx labmcp-brainflow. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · labmcp-brainflow
claude mcp add k-dense-ai-labmcp-brainflow -- uvx labmcp-brainflow
{
"mcpServers": {
"k-dense-ai-labmcp-brainflow": {
"command": "uvx",
"args": [
"labmcp-brainflow"
]
}
}
} {
"servers": {
"k-dense-ai-labmcp-brainflow": {
"command": "uvx",
"args": [
"labmcp-brainflow"
]
}
}
} codex mcp add k-dense-ai-labmcp-brainflow -- uvx labmcp-brainflow
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"k-dense-ai-labmcp-brainflow": {
"type": "local",
"command": [
"uvx",
"labmcp-brainflow"
],
"enabled": true
}
}
} openclaw mcp add k-dense-ai-labmcp-brainflow --command uvx --arg labmcp-brainflow
mcp_servers:
k-dense-ai-labmcp-brainflow:
command: "uvx"
args: ["labmcp-brainflow"] {
"McpServers": {
"k-dense-ai-labmcp-brainflow": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"labmcp-brainflow"
]
}
}
} assistant mcp add k-dense-ai-labmcp-brainflow -t stdio -c uvx -a labmcp-brainflow
{
"mcpServers": {
"k-dense-ai-labmcp-brainflow": {
"command": "uvx",
"args": [
"labmcp-brainflow"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Sept 26 −5
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 0
- Package version: 0.1.1 → 0.1.2 functional
- 26 Sept 26 70
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 30 Sept 2026 · Analysed pypi/labmcp-brainflow@0.1.2
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | K-Dense-AI/lab-instrument-mcps |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/K-Dense-AI/lab-instrument-mcps/.github/workflows/release.yml@refs/tags/labmcp-brainflow-v0.1.2 |
| Rekor log index | 2969518162 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:cc6803d50bf892298a2196f6922b7f53dc2686d433e90765accb0ac8d0820449 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 20 packages
| Packages resolved | 20 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
configure_board Configure Board ~149
Send a raw board-specific command to the firmware through BrainFlow's config_board (e.g. OpenBCI channel settings 'x1060110X', test signals, or Muse presets 'p50'/'p61' to enable PPG). The string is passed through unchecked: besides acquisition settings, some commands switch on outputs such as the lead-off (impedance-test) current that flows through the participant's electrodes. Settings persist until another command changes them or the board is power-cycled (stopping the stream does not undo them). Consult the board's SDK documentation first and tell the user what the command does.
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | Board-specific configuration string |
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | – |
| reply | string | yes | – |
| timestamp | string | yes | – |
No examples provided.
get_band_powers Get Band Powers ~122
EEG band powers (delta 1-4, theta 4-8, alpha 8-13, beta 13-30, gamma 30-50 Hz) over the most recent `window_s` seconds: BrainFlow's channel-averaged relative powers plus per-channel absolute (uV^2) and relative powers and the peak frequency. Records a fresh window if not streaming.
| Name | Type | Req | Description |
|---|---|---|---|
| channel_type | string | – | EXG channel group to analyse |
| window_s | number | – | Seconds of data to analyse (4 s recommended) |
| Name | Type | Req | Description |
|---|---|---|---|
| average_relative | object | yes | BrainFlow DataFilter.get_avg_band_powers: channel-averaged, relative (sums to 1) |
| average_relative_stddev | object | yes | Across-channel stddev / mean per band |
| bands_hz | object | yes | – |
| board | string | yes | – |
| channels | array | yes | – |
| processing | string | yes | – |
| sampling_rate_hz | integer | yes | – |
| simulated | boolean | yes | – |
| timestamp | string | yes | – |
| window_s | number | yes | – |
No examples provided.
get_board_info Get Board Info ~59
Describe the connected board: channel names by type (EEG/EMG/ECG/EOG share the EXG rows on most boards), sampling rate, available presets (data buffers) and streaming state.
| Name | Type | Req | Description |
|---|---|---|---|
| preset | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| backend | string | yes | BrainFlow version, or the built-in fake board |
| board | string | yes | – |
| board_id | integer | yes | – |
| buffered_samples | integer | yes | – |
| channels | object | yes | Channel names per type (EXG rows are shared by eeg/emg/ecg/eog) |
| device_name | – | yes | – |
| exg_unit | – | yes | – |
| preset | string | yes | – |
| presets | array | yes | Data buffers this board provides |
| sampling_rate_hz | integer | yes | – |
| simulated | boolean | yes | – |
| streaming | boolean | yes | – |
| timestamp | string | yes | – |
No examples provided.
get_command_log Get Command Log ~46
Return the most recent raw commands sent to / replies received from the instrument (newest last). Useful for debugging and for recording what was done.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
get_connection_info Get Connection Info ~40
Report which instrument is connected (identity, address, simulated or real), whether the server is read-only, and the active safety limits. Call this first.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
get_signal_quality Get Signal Quality ~83
Check every EXG channel for common electrode problems: flat line (disconnected), railed (amplifier saturated, OpenBCI Cyton boards), strong 50/60 Hz mains noise (poor contact or missing reference), and implausibly high amplitude (movement, muscle, loose electrode).
| Name | Type | Req | Description |
|---|---|---|---|
| window_s | number | – | Seconds of data to assess |
| Name | Type | Req | Description |
|---|---|---|---|
| advice | string | yes | – |
| board | string | yes | – |
| channels | array | yes | – |
| dominant_mains_hz | – | yes | – |
| sampling_rate_hz | integer | yes | – |
| simulated | boolean | yes | – |
| summary | object | yes | – |
| timestamp | string | yes | – |
| window_s | number | yes | – |
No examples provided.
insert_marker Insert Marker ~80
Write an event marker into the data stream at the current sample (for event-related experiments: stimulus onsets, condition changes). Requires `start_streaming`; markers appear in `record` results and saved files.
| Name | Type | Req | Description |
|---|---|---|---|
| preset | string | – | – |
| value | number | yes | Event code written to the marker channel; must not be 0 |
| Name | Type | Req | Description |
|---|---|---|---|
| message | string | yes | – |
| timestamp | string | yes | – |
| value | number | yes | – |
No examples provided.
list_supported_boards List Supported Boards ~73
List common BrainFlow boards: the `--option board=` alias, BrainFlow board id, and which connection detail `--address` must hold (serial port, Bluetooth MAC, IP address or serial number). Any other BrainFlow BoardIds name or numeric id is accepted too. Does not need a board.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
reconnect Reconnect ~35
Close and re-open the connection to the instrument (e.g. after it was power cycled or a cable was re-plugged).
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
record Record ~206
Record `duration_s` seconds and return per-channel statistics, event markers and downsampled traces. Uses the live stream if one is running, otherwise starts a temporary one. The full data (every row, full sampling rate) can be written to `save_path`. `stop_streaming` ends a recording early.
| Name | Type | Req | Description |
|---|---|---|---|
| channel_type | string | – | Which channels to summarise |
| duration_s | number | – | Seconds of data to collect |
| include_traces | boolean | – | Return downsampled traces |
| max_points | integer | – | Max points per downsampled trace |
| preset | string | – | – |
| remove_dc | boolean | – | Subtract each channel's mean from the traces |
| save_format | string | – | csv: labelled columns; brainflow: DataFilter.write_file format (replayable) |
| save_path | – | – | Write the full-resolution data (all rows) to this new file (.csv; never overwrites a file) |
| Name | Type | Req | Description |
|---|---|---|---|
| board | string | yes | – |
| channels | array | yes | – |
| duration_s | number | yes | – |
| end_time | – | yes | – |
| markers | array | yes | – |
| n_samples | integer | yes | – |
| preset | string | yes | – |
| sampling_rate_hz | integer | yes | – |
| saved_format | – | – | – |
| saved_to | – | – | – |
| simulated | boolean | yes | – |
| start_time | – | yes | – |
| stopped_early | boolean | – | True if stop_streaming ended the recording early: the data covers only the time before it |
| timestamp | string | yes | – |
| trace_times_s | – | – | Time axis of the downsampled traces |
| traces | – | – | Downsampled traces per channel |
| traces_dc_removed | boolean | yes | – |
No examples provided.
start_streaming Start Streaming ~83
Start continuous acquisition into BrainFlow's ring buffer (the board's radio/LEDs switch on; nothing is applied to the participant). Needed for `insert_marker`; `record` then reads from the live stream. Call `stop_streaming` when finished.
| Name | Type | Req | Description |
|---|---|---|---|
| buffer_duration_s | number | – | Size of BrainFlow's ring buffer, in seconds of data |
| Name | Type | Req | Description |
|---|---|---|---|
| buffer_duration_s | – | – | – |
| buffered_samples | integer | yes | – |
| message | string | yes | – |
| sampling_rate_hz | integer | yes | – |
| streaming | boolean | yes | – |
| timestamp | string | yes | – |
No examples provided.
stop_streaming Stop Streaming ~56
Stop acquisition (saves battery). A `record` in progress ends at once with the data acquired so far. Data already in the buffer is kept until the next stream starts or the session is released (`reconnect`).
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| buffer_duration_s | – | – | – |
| buffered_samples | integer | yes | – |
| message | string | yes | – |
| sampling_rate_hz | integer | yes | – |
| streaming | boolean | yes | – |
| timestamp | string | yes | – |
No examples provided.
What is the BrainFlow Biosensing Boards MCP server?
BrainFlow Biosensing Boards is an MCP server listed in the public MCP registry as io.github.K-Dense-AI/labmcp-brainflow. MCP server for EEG/EMG/ECG/PPG boards via BrainFlow (OpenBCI, Muse, Neurosity, Unicorn, BrainBit). This page covers its PyPI package (labmcp-brainflow).
Is the BrainFlow Biosensing Boards MCP server safe to use?
BrainFlow Biosensing Boards scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 30 September 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the BrainFlow Biosensing Boards MCP server expose?
BrainFlow Biosensing Boards exposes 12 tools: get_connection_info, get_command_log, reconnect, list_supported_boards, get_board_info, and 7 more. Their descriptions and schemas cost roughly 1,032 tokens of context every time the server is loaded.
Is the BrainFlow Biosensing Boards MCP server still maintained?
BrainFlow Biosensing Boards is still listed as active in the MCP registry. We last reached this channel on 30 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the BrainFlow Biosensing Boards MCP server under?
BrainFlow Biosensing Boards declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.